Triple
T12571292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Carl Zeiss Jena |
E295606
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object |
Rot-Weiß Erfurt
Rot-Weiß Erfurt is a German football club from Erfurt, Thuringia, known for its long history in East German football and its intense regional rivalry with FC Carl Zeiss Jena.
|
E988910
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rot-Weiß Erfurt | Statement: [FC Carl Zeiss Jena, rival, Rot-Weiß Erfurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rot-Weiß Erfurt Context triple: [FC Carl Zeiss Jena, rival, Rot-Weiß Erfurt]
-
A.
Frankfurt U2
Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
-
B.
Frankfurt U3
Frankfurt U3 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt am Main, Germany.
-
C.
Bad Driburg
Bad Driburg is a small spa town in North Rhine-Westphalia, Germany, known for its mineral springs and health resorts.
-
D.
Hersfeld-Rotenburg
Hersfeld-Rotenburg is a rural district in eastern Hesse, Germany, known for its historic towns, forests, and location along the Fulda River.
-
E.
Nordhausen
Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rot-Weiß Erfurt Triple: [FC Carl Zeiss Jena, rival, Rot-Weiß Erfurt]
Generated description
Rot-Weiß Erfurt is a German football club from Erfurt, Thuringia, known for its long history in East German football and its intense regional rivalry with FC Carl Zeiss Jena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rot-Weiß Erfurt Target entity description: Rot-Weiß Erfurt is a German football club from Erfurt, Thuringia, known for its long history in East German football and its intense regional rivalry with FC Carl Zeiss Jena.
-
A.
Frankfurt U2
Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
-
B.
Frankfurt U3
Frankfurt U3 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt am Main, Germany.
-
C.
Bad Driburg
Bad Driburg is a small spa town in North Rhine-Westphalia, Germany, known for its mineral springs and health resorts.
-
D.
Hersfeld-Rotenburg
Hersfeld-Rotenburg is a rural district in eastern Hesse, Germany, known for its historic towns, forests, and location along the Fulda River.
-
E.
Nordhausen
Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a422c88190a22cc34d2eac00ce |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559336088190874123c06c86630e |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f656a86ff48190bd3debd30e11df80 |
completed | May 2, 2026, 7:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657aec8fc8190b3b08ccb95595958 |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 11:50 p.m.