Triple
T21531887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | attendanceApproximate |
P2636
|
FINISHED |
| Object | about 200000 spectators |
—
|
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: about 200000 spectators | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), attendanceApproximate, about 200000 spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceApproximate Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), attendanceApproximate, about 200000 spectators]
-
A.
attendance
chosen
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
-
C.
attendanceUnit
Indicates a unit or measure used to quantify or record attendance in a given context.
-
D.
attendancePromotion
Indicates a relationship where one entity promotes, encourages, or incentivizes attendance at an event, activity, or location for another entity.
-
E.
attendanceIssues
Indicates that there are problems or irregularities related to an entity’s attendance, such as frequent absences, tardiness, or non-compliance with attendance expectations.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.