Triple
T33515619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansett-ANA |
E858357
|
entity |
| Predicate | notableAircraftTypeOperated |
P28676
|
FINISHED |
| Object | Douglas DC-6 |
E301197
|
NE 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: Douglas DC-6 | Statement: [Ansett-ANA, notableAircraftTypeOperated, Douglas DC-6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAircraftTypeOperated Context triple: [Ansett-ANA, notableAircraftTypeOperated, Douglas DC-6]
-
A.
aircraftTypesOperated
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
-
B.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
C.
notableAircraftUsed
chosen
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
-
D.
aircraftRoleOperated
Indicates that an entity operates or has operated in a specified role or function within the context of aircraft operations.
-
E.
notableAircraftServiced
Indicates that an entity (such as an airport, airline, or facility) has serviced or handled a particular aircraft that is considered notable or significant.
- F. None of above.
Provenance (4 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35afc7a6a081909a3fb9838195669e |
completed | June 19, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:39 a.m.