Triple
T33356321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farah Palmer |
E854080
|
entity |
| Predicate | numberOfWorldCupsWonAsCaptain |
P96972
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Farah Palmer, numberOfWorldCupsWonAsCaptain, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldCupsWonAsCaptain Context triple: [Farah Palmer, numberOfWorldCupsWonAsCaptain, 3]
-
A.
numberOfRugbyWorldCupsWonAsCaptain
chosen
Indicates the number of Rugby World Cup tournaments that an entity has won while serving as team captain.
-
B.
numberOfWorldCupWins
Indicates how many times an entity has won the FIFA World Cup tournament.
-
C.
numberOfWorldCupVictories
Indicates the count of FIFA World Cup tournament titles that an entity (typically a national team or country) has won.
-
D.
numberOfWorldCupCombinedWins
Indicates the total count of World Cup tournament victories achieved collectively by the related entities.
-
E.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0311c202408190be88a85337aacf11 |
completed | May 12, 2026, 11:40 a.m. |
| PD | Predicate disambiguation | batch_6a0310b0c9c88190ab218d47d4f432ed |
completed | May 12, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:34 a.m.