Triple
T37478801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadi Cornellà-El Prat |
E931356
|
entity |
| Predicate | hasClubStore |
P23299
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
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: yes | Statement: [Estadi Cornellà-El Prat, hasClubStore, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubStore Context triple: [Estadi Cornellà-El Prat, hasClubStore, yes]
-
A.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
B.
hasClubBase
Indicates that a club or organization is based at, or primarily operates from, a particular location or facility.
-
C.
hasShop
chosen
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
D.
hasHomeClub
Indicates that an entity (typically a person, such as an athlete) is associated with a particular club as their primary or official home organization.
-
E.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:17 p.m.