Triple
T29977656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 FIFA World Cup qualification |
E761494
|
entity |
| Predicate | CAFSpots |
P168315
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1990 FIFA World Cup qualification, CAFSpots, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CAFSpots Context triple: [1990 FIFA World Cup qualification, CAFSpots, 2]
-
A.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
-
B.
amenityFocus
Indicates a relationship where an amenity is specifically oriented toward, designed for, or primarily serving a particular focus or target (such as a user group, activity, or purpose).
-
C.
cityAccess
Indicates that an entity has permission or the ability to enter, use, or reach a particular city.
-
D.
placesWithin
Indicates that one place or area is located entirely inside the boundaries of another place or area.
-
E.
transportFocus
Indicates that an entity is the primary object or subject of a transportation action or movement event.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678d69dc88190b0c31a769272f6d6 |
completed | May 2, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:34 p.m.