Triple
T29378394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria vs Argentina (2018 FIFA World Cup Group D) |
E745065
|
entity |
| Predicate | MessiWorldCupGoalNumber |
P138622
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Nigeria vs Argentina (2018 FIFA World Cup Group D), MessiWorldCupGoalNumber, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MessiWorldCupGoalNumber Context triple: [Nigeria vs Argentina (2018 FIFA World Cup Group D), MessiWorldCupGoalNumber, 6]
-
A.
MessiGoals
chosen
Indicates that one entity (Messi) scores a certain number of goals in a match, season, or specified context.
-
B.
MessiFirstGoalMinuteApprox
Indicates the approximate minute in which Messi scored his first goal in a given match or context.
-
C.
MessiFreeKickGoal
Indicates that Lionel Messi scores a goal directly from a free kick.
-
D.
MessiPenaltyGoal
Indicates that Lionel Messi successfully scores a goal from a penalty kick.
-
E.
MessiAssists
Indicates that Messi provides an assist leading directly to a goal for another player.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669afbf3081909d3618d25f39a4ae |
completed | May 2, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:33 p.m.