Triple
T36592175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libres y Lokos |
E902699
|
entity |
| Predicate | typicalStandLocation |
P21833
|
FINISHED |
| Object | general admission section of Estadio Universitario |
—
|
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: general admission section of Estadio Universitario | Statement: [Libres y Lokos, typicalStandLocation, general admission section of Estadio Universitario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStandLocation Context triple: [Libres y Lokos, typicalStandLocation, general admission section of Estadio Universitario]
-
A.
typicalUseLocation
chosen
Indicates the usual or most common location where an entity is used or operates.
-
B.
standsAt
Indicates that one entity is positioned upright at or near a specific location or reference point associated with another entity.
-
C.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
D.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
E.
typicalPositioning
Indicates the usual or characteristic spatial arrangement or placement of one entity relative to another or within a given context.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.