Triple
T26167124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Belleau Wood (CVL-24) |
E654284
|
entity |
| Predicate | foreignNavy |
P157023
|
FINISHED |
| Object | French Navy |
—
|
NE NERFINISHED |
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 Navy | Statement: [USS Belleau Wood (CVL-24), foreignNavy, French Navy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignNavy Context triple: [USS Belleau Wood (CVL-24), foreignNavy, French Navy]
-
A.
countryNavalForce
Indicates that a country possesses, controls, or is associated with a particular naval military force.
-
B.
navalCountry
Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
-
C.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
D.
onlyNavalFacilityOutsideFormerSovietUnionOf
Indicates that the subject is the only naval facility belonging to or associated with the object that is located outside the territory of the former Soviet Union.
-
E.
navalAffiliation
chosen
Indicates a formal relationship in which an entity is associated with, belongs to, or operates under a particular navy or naval force.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:33 p.m.