Triple
T21553269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Alfonso Lastras Ramírez |
E531819
|
entity |
| Predicate | isVenueForClubLevel |
P144213
|
FINISHED |
| Object | top-division Mexican football |
—
|
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: top-division Mexican football | Statement: [Estadio Alfonso Lastras Ramírez, isVenueForClubLevel, top-division Mexican football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVenueForClubLevel Context triple: [Estadio Alfonso Lastras Ramírez, isVenueForClubLevel, top-division Mexican football]
-
A.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
B.
isVenueWithin
Indicates that one venue is geographically located inside the boundaries or area of another place or region.
-
C.
hasQualifyingVenue
Indicates that an entity is associated with a venue that meets specified qualifying criteria or standards.
-
D.
includesClubLevel
Indicates that one entity encompasses or provides access to a specific club-level tier, area, or privileges associated with another entity.
-
E.
hasPrincipalVenue
Indicates that an entity has a primary or main venue where its activities, events, or operations predominantly take place.
- F. None of above. chosen
Provenance (4 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb594956c8190a5b4d81911e3927d |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.