Triple
T7556543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jose Rizal-class frigate |
E178680
|
entity |
| Predicate | numberOfShipsCompleted |
P43019
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Jose Rizal-class frigate, numberOfShipsCompleted, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsCompleted Context triple: [Jose Rizal-class frigate, numberOfShipsCompleted, 2]
-
A.
numberOfShips
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.
numberOfShipsInvolved
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
D.
classShipCount
chosen
Indicates the number of ships associated with a particular class or category.
-
E.
numberOfBattleshipsCompleted
Indicates the total count of battleships that have been fully constructed or completed.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d9ebe48190a08110695ce1eb55 |
completed | March 27, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.