Triple
T13431792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephrata Municipal Airport |
E313628
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | EPH |
E1040621
|
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: EPH | Statement: [Ephrata Municipal Airport, FAAcode, EPH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPH Context triple: [Ephrata Municipal Airport, FAAcode, EPH]
-
A.
EPH
chosen
EPH is the IATA airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
-
B.
Ephs
Ephs is the distinctive nickname for the athletic teams representing Williams College in intercollegiate sports.
-
C.
EPI
EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
-
D.
EPI
EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
-
E.
Epi
Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7461f44b08190802290db7a4e6a5e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:40 p.m.