Triple
T24422715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Mexico (1930 FIFA World Cup) |
E615766
|
entity |
| Predicate | goalsScoredByFrance |
P155871
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [France vs Mexico (1930 FIFA World Cup), goalsScoredByFrance, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredByFrance Context triple: [France vs Mexico (1930 FIFA World Cup), goalsScoredByFrance, 4]
-
A.
goalsForFrance
Indicates that the subject scored a goal while playing for the France national team.
-
B.
previousFranceWorldCupTitleYear
Indicates the year in which France most recently won the FIFA World Cup prior to a given reference point.
-
C.
strengthFrance
Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
-
D.
numberOfEnglandGoals
Indicates the number of goals scored by the England team in a given match or context.
-
E.
resultForFrance
Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
- 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.