Triple
T12935054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Krieger |
E309485
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
1. FFC Frankfurt
1. FFC Frankfurt is a highly successful German women's football club known for its multiple national and UEFA Women's Champions League titles.
|
E1010509
|
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: 1. FFC Frankfurt | Statement: [Ali Krieger, memberOfSportsTeam, 1. FFC Frankfurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1. FFC Frankfurt Context triple: [Ali Krieger, memberOfSportsTeam, 1. FFC Frankfurt]
-
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 U1
Frankfurt U1 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt am Main, Germany.
-
C.
FSV Frankfurt
FSV Frankfurt is a German football club from Frankfurt am Main that traditionally plays in the lower professional tiers and is known as a local rival of Eintracht Frankfurt.
-
D.
Eintracht Frankfurt
Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
-
E.
Frankfurt U9
Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
- 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: 1. FFC Frankfurt Triple: [Ali Krieger, memberOfSportsTeam, 1. FFC Frankfurt]
Generated description
1. FFC Frankfurt is a highly successful German women's football club known for its multiple national and UEFA Women's Champions League titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1. FFC Frankfurt Target entity description: 1. FFC Frankfurt is a highly successful German women's football club known for its multiple national and UEFA Women's Champions League titles.
-
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 U1
Frankfurt U1 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt am Main, Germany.
-
C.
FSV Frankfurt
FSV Frankfurt is a German football club from Frankfurt am Main that traditionally plays in the lower professional tiers and is known as a local rival of Eintracht Frankfurt.
-
D.
Eintracht Frankfurt
Eintracht Frankfurt is a professional German football club best known for competing in the Bundesliga and winning multiple domestic and European titles.
-
E.
Frankfurt U9
Frankfurt U9 is a line of the Frankfurt U-Bahn rapid transit network in Frankfurt am Main, Germany.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc76d688190bd58a23351373666 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6d16388190abc848ac67bf1fb9 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b08df448819080c0a7b0921bcc9f |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:42 p.m.