Triple
T27667120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stifle Tower |
E697255
|
entity |
| Predicate | nationalityOfPlayer |
P41787
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [The Stifle Tower, nationalityOfPlayer, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfPlayer Context triple: [The Stifle Tower, nationalityOfPlayer, French]
-
A.
countryOfPlayer
chosen
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
-
B.
homeCountryFIFA_code
Indicates the FIFA country code that represents the national association or home country with which an entity is affiliated.
-
C.
playsForNationality
Indicates that an athlete or player represents a particular country or nationality in a sport or competition.
-
D.
countryOfClubPlayedFor
Indicates the country in which the club that an entity played for is based.
-
E.
homeCountryForLeaguePurposes
Indicates the country that is officially recognized as a league’s home or base of operations for regulatory or organizational purposes.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 2:39 p.m.