Triple
T28701122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armada de Molucca |
E729552
|
entity |
| Predicate | numberOfShipsAtStart |
P861
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Armada de Molucca, numberOfShipsAtStart, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsAtStart Context triple: [Armada de Molucca, numberOfShipsAtStart, 5]
-
A.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
B.
numberOfShipsInvolved
chosen
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
C.
numberOfPlannedShips
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
-
D.
serviceNumberOfShipsUnderCommand
Indicates the number of ships that are currently under the command or control of a given service or commanding entity.
-
E.
embarkedForcesCapacity
Indicates the maximum number of forces (e.g., troops or personnel) that can be embarked or carried by a given platform or unit.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: April 28, 2026, 5:42 a.m.