Triple
T23328561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuzhno-Kurilsk Mendeleyevo Airport |
E591373
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object | UHSM |
—
|
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: UHSM | Statement: [Yuzhno-Kurilsk Mendeleyevo Airport, icaoCode, UHSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UHSM Context triple: [Yuzhno-Kurilsk Mendeleyevo Airport, icaoCode, UHSM]
-
A.
UHSM
chosen
UHSM is the ICAO airport code for Yuzhno-Kurilsk Mendeleyevo Airport, a regional airport serving the Kuril Islands in Russia.
-
B.
UHMA
UHMA is the ICAO airport code for Ugolny Airport, a regional airport serving the Chukotka Autonomous Okrug in Russia.
-
C.
USM
USM is the main public higher education and research institution in Moldova, known in English as Moldova State University.
-
D.
USM
USM is the IATA airport code for Samui International Airport serving Ko Samui in Thailand.
-
E.
USM
USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:13 p.m.