Triple
T21718561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gearing-class destroyer |
E536093
|
entity |
| Predicate | typicalComplement |
P145081
|
FINISHED |
| Object | approximately 336 officers and enlisted |
—
|
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: approximately 336 officers and enlisted | Statement: [Gearing-class destroyer, typicalComplement, approximately 336 officers and enlisted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalComplement Context triple: [Gearing-class destroyer, typicalComplement, approximately 336 officers and enlisted]
-
A.
complements
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
-
B.
complement
Indicates that one entity completes, enhances, or makes another entity whole or more effective by providing what it lacks.
-
C.
relatesComplementTo
Indicates that one entity serves as a complement or completing counterpart to another entity within a specified context or structure.
-
D.
complementOf
Indicates that one entity serves as a complement to another, completing or specifying it in a grammatical or semantic relationship.
-
E.
typicalCombinationWith
Indicates that one entity is commonly or characteristically used, found, or occurs together in combination with 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96cc58081908dda09819041b888 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:47 p.m.