Triple
T32092663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | underdogVictory |
P191020
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Argentina defeated France in opening match, underdogVictory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underdogVictory Context triple: [Argentina defeated France in opening match, underdogVictory, true]
-
A.
underdog
Indicates that one entity is at a disadvantage or is less favored to succeed compared to another in a given competition or situation.
-
B.
underdogChampion
Indicates a situation where an initially disadvantaged or underestimated party ultimately emerges as the winner or leading figure.
-
C.
underdogTeam
Indicates a team that is expected to lose or is at a disadvantage compared to its opponent in a competition or matchup.
-
D.
defeat
Indicates that one entity wins against and overcomes another in a contest, conflict, or competition.
-
E.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 1, 2026, 12:25 a.m.