Triple
T10140953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battleship New Jersey Museum and Memorial |
E231580
|
entity |
| Predicate | vesselLaunched |
P92487
|
FINISHED |
| Object | December 7, 1942 |
—
|
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: December 7, 1942 | Statement: [Battleship New Jersey Museum and Memorial, vesselLaunched, December 7, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vesselLaunched Context triple: [Battleship New Jersey Museum and Memorial, vesselLaunched, December 7, 1942]
-
A.
originalShipLaunchedIn
Indicates that an original ship was first launched in a specified year, place, or context.
-
B.
hasVessel
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
-
C.
commissionedShip
Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
-
D.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
-
E.
governmentVessel
Indicates that the vessel is owned, operated, or officially designated for use by a government or governmental authority.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd51bc440c819086320900701f87c2 |
completed | April 1, 2026, 5:11 p.m. |
Created at: March 30, 2026, 9:07 p.m.