Triple
T5573571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Turner Joy (DD-951) |
E146261
|
entity |
| Predicate | classPosition |
P64522
|
FINISHED |
| Object | last Forrest Sherman-class destroyer built |
—
|
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: last Forrest Sherman-class destroyer built | Statement: [USS Turner Joy (DD-951), classPosition, last Forrest Sherman-class destroyer built]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classPosition Context triple: [USS Turner Joy (DD-951), classPosition, last Forrest Sherman-class destroyer built]
-
A.
positionClass
Indicates the classification or category assigned to an entity based on its role, rank, or position within a defined structure or system.
-
B.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
C.
doctrinePosition
Indicates that one entity holds, teaches, or is aligned with a particular doctrine, belief, or set of principles.
-
D.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
E.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02052dd0481909aba6863831357eb |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:37 p.m.