Triple
T24797411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Pocitos |
E620423
|
entity |
| Predicate | firstWorldCupGoalScorer |
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: [Estadio Pocitos, firstWorldCupGoalScorer, Lucien Laurent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupGoalScorer Context triple: [Estadio Pocitos, firstWorldCupGoalScorer, Lucien Laurent]
-
A.
firstGoalScorerInWorldCupHistory
chosen
Indicates the player who scored the very first goal in the history of the FIFA World Cup.
-
B.
FIFAWorldCupGoalsRank
Indicates the ranking of entities based on the number of goals they have scored in FIFA World Cup competitions.
-
C.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
-
D.
worldCupHatTricks
Indicates that a player has scored three or more goals in a single FIFA World Cup match.
-
E.
notableGoalScorer
Indicates that the subject is recognized for having scored a significant or noteworthy number of goals, typically in a sports context.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 18, 2026, 4:48 a.m.