Triple
T3569163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batagay |
E75525
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Batagay Airport |
E369919
|
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: Batagay Airport | Statement: [Batagay, servedBy, Batagay Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batagay Airport Context triple: [Batagay, servedBy, Batagay Airport]
-
A.
Batagay Airport
chosen
Batagay Airport is a small regional airport in the Sakha Republic of Russia that serves the remote settlement of Batagay and surrounding areas in the Arctic region.
-
B.
Namdrik Airport
Namdrik Airport is a small airstrip serving the remote Namdrik Atoll in the Marshall Islands, providing vital air transport links for its local community.
-
C.
Nadym Airport
Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
-
D.
Aktobe International Airport
Aktobe International Airport is a regional airport in Aktobe, Kazakhstan, providing domestic and limited international passenger and cargo services.
-
E.
Tunoshna Airport
Tunoshna Airport is a regional airport serving the city of Yaroslavl in Russia, handling both domestic passenger flights and cargo operations.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402ebfd548190a155fb1e65aefa8d |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.