Triple
T9640578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadym Airport |
E233053
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Nadym |
E217669
|
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: Nadym | Statement: [Nadym Airport, serves, Nadym]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadym Context triple: [Nadym Airport, serves, Nadym]
-
A.
Nadym
chosen
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
-
B.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
C.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
-
D.
Daur
The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
-
E.
Namdrik
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b552a1c81909a1fab347110eeb1 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f6a7ddc8190b7e8add97b7dc257 |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 8:12 p.m.