Triple
T23901652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Juby |
E601060
|
entity |
| Predicate | Saint-ExupéryRole |
P154018
|
FINISHED |
| Object | airfield manager |
—
|
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: airfield manager | Statement: [Cape Juby, Saint-ExupéryRole, airfield manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Saint-ExupéryRole Context triple: [Cape Juby, Saint-ExupéryRole, airfield manager]
-
A.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
B.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
C.
roleInSamuelBeckettLife
Indicates the specific role or involvement an entity had in Samuel Beckett’s life.
-
D.
isPilotOf
Indicates that one entity serves as the pilot who operates or controls another entity, typically a vehicle or aircraft.
-
E.
notableAuthorRole
Indicates that an entity holds a significant or distinguished role as an author in relation to 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.