Triple
T37074987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scuttling of the Royal Danish Navy 1943 |
E917684
|
entity |
| Predicate | approximateNumberOfShipsInvolved |
P861
|
FINISHED |
| Object | about 30 to 40 vessels |
—
|
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: about 30 to 40 vessels | Statement: [Scuttling of the Royal Danish Navy 1943, approximateNumberOfShipsInvolved, about 30 to 40 vessels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfShipsInvolved Context triple: [Scuttling of the Royal Danish Navy 1943, approximateNumberOfShipsInvolved, about 30 to 40 vessels]
-
A.
numberOfShipsInvolved
chosen
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
B.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
C.
engagedEnemyShips
Indicates that one or more entities have actively attacked, exchanged fire with, or otherwise entered into direct combat with enemy ships.
-
D.
numberOfTroopsInvolved
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
E.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:14 p.m.