Triple
T38235327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby Lorrain |
E1013604
|
entity |
| Predicate | homeStadiumForASNancy |
P47009
|
FINISHED |
| Object | Stade Marcel-Picot |
—
|
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 Marcel-Picot | Statement: [Derby Lorrain, homeStadiumForASNancy, Stade Marcel-Picot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeStadiumForASNancy Context triple: [Derby Lorrain, homeStadiumForASNancy, Stade Marcel-Picot]
-
A.
homeStadiumSituatedOn
Indicates that a team's home stadium is physically located on or within the grounds of a specified site or area.
-
B.
neighbouringStadium
Indicates that one stadium is located adjacent to or very close to another stadium.
-
C.
homeTeamInParis
Indicates that the designated home team is located in or based in Paris.
-
D.
homeStadiumOfOtherParticipant
Indicates that a stadium serves as the home venue for another participant (such as a team or club) involved in an event or competition.
-
E.
hostTeamStadium
chosen
Indicates that a particular team plays its home games at a specified stadium.
- 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_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.