Triple
T38235328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby Lorrain |
E1013604
|
entity |
| Predicate | homeStadiumForFCMetz |
P47009
|
FINISHED |
| Object | Stade Saint-Symphorien |
—
|
NE NERFINISHED |
How this triple was built (2 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: Stade Saint-Symphorien | Statement: [Derby Lorrain, homeStadiumForFCMetz, Stade Saint-Symphorien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeStadiumForFCMetz Context triple: [Derby Lorrain, homeStadiumForFCMetz, Stade Saint-Symphorien]
-
A.
homeTeamInParis
Indicates that the designated home team is located in or based in Paris.
-
B.
neighbouringStadium
Indicates that one stadium is located adjacent to or very close to another stadium.
-
C.
hasHomeStadiumForCFMontreal
Indicates that a stadium serves as the designated home venue where CF Montréal plays its home matches.
-
D.
hostTeamStadium
chosen
Indicates that a particular team plays its home games at a specified stadium.
-
E.
homeStadiumOfPSGMatches
Indicates the stadium that serves as the primary home venue where Paris Saint-Germain (PSG) plays its matches.
- F. None of above.
Provenance (3 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.