Triple
T24422708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Mexico (1930 FIFA World Cup) |
E615766
|
entity |
| Predicate | firstGoalScorerInWorldCupHistory |
P155870
|
FINISHED |
| Object | Lucien Laurent |
—
|
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: Lucien Laurent | Statement: [France vs Mexico (1930 FIFA World Cup), firstGoalScorerInWorldCupHistory, Lucien Laurent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGoalScorerInWorldCupHistory Context triple: [France vs Mexico (1930 FIFA World Cup), firstGoalScorerInWorldCupHistory, Lucien Laurent]
-
A.
firstWinningGoalDescription
Indicates the descriptive text explaining the goal that first secured a win for a team or player in a given match or competition.
-
B.
MessiFirstGoalMinuteApprox
Indicates the approximate minute in which Messi scored his first goal in a given match or context.
-
C.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
-
D.
isFirstWorldCupTitleForCountry
Indicates that the referenced World Cup title is the first ever won by the specified country.
-
E.
FIFAWorldCupGoalsRank
Indicates the ranking of entities based on the number of goals they have scored in FIFA World Cup competitions.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a4285881909376560f1cf4bf62 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:14 a.m.