Triple
T18276241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilian Thuram |
E437742
|
entity |
| Predicate | numberOfNationalCaps |
P102809
|
FINISHED |
| Object | 142 |
—
|
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: 142 | Statement: [Lilian Thuram, numberOfNationalCaps, 142]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNationalCaps Context triple: [Lilian Thuram, numberOfNationalCaps, 142]
-
A.
nationalCaps
Indicates that one entity serves as the national capital city of another entity (typically a country or nation).
-
B.
internationalFootballCaps
chosen
Indicates the number of official international football (soccer) matches a player has appeared in for their national team.
-
C.
numberOfEnglandCaps
Indicates the number of times an entity has represented England in official international appearances (caps).
-
D.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
E.
numberOfWorldCupWins
Indicates how many times an entity 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.