Triple
T15423806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwelm |
E369451
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Fourmies
Fourmies is a small industrial town in northern France, historically known for its textile industry and labor movement heritage.
|
E1155813
|
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: Fourmies | Statement: [Schwelm, hasTwinTown, Fourmies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fourmies Context triple: [Schwelm, hasTwinTown, Fourmies]
-
A.
Foros
Foros is a coastal resort settlement on the southern shore of Crimea, known for its scenic cliffs, beaches, and the landmark Church of the Resurrection overlooking the Black Sea.
-
B.
Forum
Forum is an independent, avant-garde section of the Berlin International Film Festival that showcases experimental, innovative, and often politically engaged cinema from around the world.
-
C.
FORU
FORU is the former acronym for Oceania Rugby, the regional governing body for rugby union in the Oceania region.
-
D.
Forum Cornelii
Forum Cornelii was an ancient Roman town in northern Italy, located along the Via Aemilia and known in modern times as Imola.
-
E.
BBS
BBS is the station code used to identify the Brandenburger Tor S-Bahn station in Berlin’s public transit system.
- 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: Fourmies Triple: [Schwelm, hasTwinTown, Fourmies]
Generated description
Fourmies is a small industrial town in northern France, historically known for its textile industry and labor movement heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fourmies Target entity description: Fourmies is a small industrial town in northern France, historically known for its textile industry and labor movement heritage.
-
A.
Foros
Foros is a coastal resort settlement on the southern shore of Crimea, known for its scenic cliffs, beaches, and the landmark Church of the Resurrection overlooking the Black Sea.
-
B.
Forum
Forum is an independent, avant-garde section of the Berlin International Film Festival that showcases experimental, innovative, and often politically engaged cinema from around the world.
-
C.
FORU
FORU is the former acronym for Oceania Rugby, the regional governing body for rugby union in the Oceania region.
-
D.
Forum Cornelii
Forum Cornelii was an ancient Roman town in northern Italy, located along the Via Aemilia and known in modern times as Imola.
-
E.
BBS
BBS is the station code used to identify the Brandenburger Tor S-Bahn station in Berlin’s public transit system.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7d02a08190a1e34e3a014acea9 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b3c563481908418411a977df343 |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c0ad5448190903dc38f78512f3b |
completed | May 9, 2026, 11:35 a.m. |
Created at: April 10, 2026, 3:20 a.m.