Triple
T18005654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangborn Memorial Airport |
E430739
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | EAT |
—
|
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: EAT | Statement: [Pangborn Memorial Airport, FAAcode, EAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EAT Context triple: [Pangborn Memorial Airport, FAAcode, EAT]
-
A.
EAT
chosen
EAT is the IATA airport code for Pangborn Memorial Airport, a regional airport serving the Wenatchee area in Washington State, USA.
-
B.
Eating
"Eating" is a 1990 independent ensemble film by Henry Jaglom that explores women's relationships with food, body image, and aging through overlapping conversations at a birthday party.
-
C.
EAT/DIE
EAT/DIE is a conceptual artwork by American artist Robert Indiana that juxtaposes the words “EAT” and “DIE” to explore themes of consumption, mortality, and American culture.
-
D.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
E.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.