Triple
T27464640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le MUC |
E693143
|
entity |
| Predicate | homeCityOfClubReferred |
P30008
|
FINISHED |
| Object | Le Mans |
—
|
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: Le Mans | Statement: [Le MUC, homeCityOfClubReferred, Le Mans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCityOfClubReferred Context triple: [Le MUC, homeCityOfClubReferred, Le Mans]
-
A.
parentClubCity
chosen
Indicates that a sports club is based in or belongs to a particular city as its home location.
-
B.
refersToClubBasedAt
Indicates that one entity makes reference to or is associated with a club that is based at a specified location or organization.
-
C.
usedByClubFromCity
Indicates that something (such as a facility, stadium, or resource) is utilized by a sports club that is based in a particular city.
-
D.
refersToClubFrom
Indicates that one entity is referencing or pointing to a specific club as its related or associated club.
-
E.
isLocatedInCityWithClub
Indicates that an entity is situated in a city that has at least one (sports or similar) club based there.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 12:51 p.m.