Triple
T22993428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegasus Field |
E572117
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Pegasus |
—
|
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: Pegasus | Statement: [Pegasus Field, namedAfter, Pegasus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pegasus Context triple: [Pegasus Field, namedAfter, Pegasus]
-
A.
Pegasus
Pegasus was a British Royal Navy seaplane carrier that served in the early 20th century, supporting naval aviation operations.
-
B.
Pegasus
Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
-
C.
Pegasus
Pegasus is a prominent constellation in the northern sky, named after the winged horse of Greek mythology and easily recognized by its large "Great Square" asterism.
-
D.
Pegasus
Pegasus is a 2020 studio album by American rapper Trippie Redd that blends melodic rap, trap, and emo influences.
-
E.
Pegasus
chosen
Pegasus is a modern planned township in New Zealand’s Canterbury region, known for its residential development around an artificial lake and golf course.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f1940c8190a5645ee8d8e5e063 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.