Triple
T26167123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Belleau Wood (CVL-24) |
E654284
|
entity |
| Predicate | foreignServiceCountry |
P160729
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [USS Belleau Wood (CVL-24), foreignServiceCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignServiceCountry Context triple: [USS Belleau Wood (CVL-24), foreignServiceCountry, France]
-
A.
foreignService
Indicates that an entity is engaged in or related to diplomatic or consular work conducted abroad on behalf of a government.
-
B.
overseasCountry
Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
-
C.
serviceEntryCountry
Indicates the country where a service is first entered, initiated, or begins operation in relation to an entity.
-
D.
countryService
Indicates that a service, function, or operation is provided by, associated with, or applicable to a specific country.
-
E.
accessCountry
Indicates that an entity has access to, operates within, or is associated with activities in a specified country.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c4039548190a47fb89a3a393b70 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 8:33 p.m.