Triple
T23078747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Vista Municipal Airport |
E575406
|
entity |
| Predicate | hasPushpinLabel |
P13793
|
FINISHED |
| Object | FHU |
—
|
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: FHU | Statement: [Sierra Vista Municipal Airport, hasPushpinLabel, FHU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FHU Context triple: [Sierra Vista Municipal Airport, hasPushpinLabel, FHU]
-
A.
FHU
FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
-
B.
FHU
chosen
FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
-
C.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
D.
FHUI
FHUI is the commonly used abbreviation for the Faculty of Law at the University of Indonesia, one of the country’s leading law schools.
-
E.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c6572d88190afab0dfa960a85dd |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.