Triple
T26380911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Wittering |
E663121
|
entity |
| Predicate | historicallyOperatedAircraft |
P27581
|
FINISHED |
| Object | Hawker Siddeley Harrier |
—
|
NE NERFINISHED |
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: Hawker Siddeley Harrier | Statement: [RAF Wittering, historicallyOperatedAircraft, Hawker Siddeley Harrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyOperatedAircraft Context triple: [RAF Wittering, historicallyOperatedAircraft, Hawker Siddeley Harrier]
-
A.
historicalAircraftOperated
chosen
Indicates that an entity previously operated a specific aircraft model during a past period, but no longer does so.
-
B.
aircraftTypesOperated
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
-
C.
formerAircraft
Indicates that an entity was previously used or designated as an aircraft but no longer holds that status.
-
D.
aircraftFlown
Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
-
E.
officiallyFlownOn
Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 26, 2026, 11:18 p.m.