Triple
T30571488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jairzinho |
E778131
|
entity |
| Predicate | scoredInEveryMatchOf |
P170240
|
FINISHED |
| Object | 1970 FIFA World Cup |
—
|
NE NERFINISHED |
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: 1970 FIFA World Cup | Statement: [Jairzinho, scoredInEveryMatchOf, 1970 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredInEveryMatchOf Context triple: [Jairzinho, scoredInEveryMatchOf, 1970 FIFA World Cup]
-
A.
scoredHatTrickAt
Indicates that an entity (typically a player) scored three goals in a single game or match that took place at the specified location or event.
-
B.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
-
C.
scoredHatTrickAgainst
Indicates that one entity scored three goals in a single game against another entity.
-
D.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
E.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:22 p.m.