Triple
T649434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallipoli Campaign air operations |
E11312
|
entity |
| Predicate | aircraftCarrierTypeUsed |
P6548
|
FINISHED |
| Object | seaplane carrier |
—
|
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: seaplane carrier | Statement: [Gallipoli Campaign air operations, aircraftCarrierTypeUsed, seaplane carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftCarrierTypeUsed Context triple: [Gallipoli Campaign air operations, aircraftCarrierTypeUsed, seaplane carrier]
-
A.
aircraftCarrierInvolved
Indicates that an aircraft carrier participates in, is present at, or is otherwise directly involved in the specified event or situation.
-
B.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
C.
aircraftTypesCarried
chosen
Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
-
D.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
E.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f31e70c81909a2ac1d939f7ec07 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0eade081909c47e85ed55f808d |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.