Triple
T24797412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Pocitos |
E620423
|
entity |
| Predicate | firstWorldCupGoalMatch |
P155870
|
FINISHED |
| Object | France vs Mexico |
—
|
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: France vs Mexico | Statement: [Estadio Pocitos, firstWorldCupGoalMatch, France vs Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupGoalMatch Context triple: [Estadio Pocitos, firstWorldCupGoalMatch, France vs Mexico]
-
A.
firstWorldCup
Indicates that the entity participated in or hosted its first World Cup tournament in relation to the associated event or year.
-
B.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
-
C.
firstGoalScorerInWorldCupHistory
chosen
Indicates the player who scored the very first goal in the history of the FIFA World Cup.
-
D.
wasFirstWorldCupWith
Indicates that the referenced World Cup tournament was the first one to feature or include the specified characteristic, rule, format, or element.
-
E.
firstWorldCupAfter
Indicates that one event is the first World Cup held after another specified event or point in time.
- 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_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 18, 2026, 4:48 a.m.