Triple
T9521442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn-class cruiser |
E229652
|
entity |
| Predicate | numberOfShipsBuilt |
P39920
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Brooklyn-class cruiser, numberOfShipsBuilt, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsBuilt Context triple: [Brooklyn-class cruiser, numberOfShipsBuilt, 9]
-
A.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
B.
numberOfPlannedShips
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
-
C.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
D.
numberOfShipsInvolved
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
E.
commissionedShip
Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9884dd5c8190b69c178cb2ac75c2 |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56a3d088190bdc16670678fb6c6 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:59 p.m.