Triple
T419699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Shipbuilding Corporation |
E8072
|
entity |
| Predicate | builtShipType |
P6545
|
FINISHED |
| Object | battleship |
—
|
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: battleship | Statement: [New York Shipbuilding Corporation, builtShipType, battleship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtShipType Context triple: [New York Shipbuilding Corporation, builtShipType, battleship]
-
A.
originalShipType
chosen
Indicates the type or category of ship that an entity was originally classified or built as.
-
B.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
C.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
D.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
E.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd3b948819097d96c73d0a0f699 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.