Triple
T8978499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qimei Island |
E214459
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Qimei Airport |
E777012
|
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: Qimei Airport | Statement: [Qimei Island, hasAirport, Qimei Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qimei Airport Context triple: [Qimei Island, hasAirport, Qimei Airport]
-
A.
Qimei Airport
chosen
Qimei Airport is a small regional airport serving Qimei Island in Penghu County, Taiwan, providing domestic air connections to the surrounding islands and mainland Taiwan.
-
B.
Zhuliany Airport
Zhuliany Airport is a major international airport serving Kyiv, Ukraine, known for its proximity to the city center and focus on regional and low-cost flights.
-
C.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
-
D.
Makung Airport
Makung Airport is a regional airport serving the Penghu Islands in Taiwan, providing domestic flights that connect the archipelago with major cities on the Taiwanese mainland.
-
E.
Chu Lai Airport
Chu Lai Airport is a regional airport in Quảng Nam Province, central Vietnam, serving both civilian and limited military aviation needs and supporting the area's economic and tourism development.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a4b3e88190b778a9b5589cab6d |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fb3a27081909bc8504c92d8942f |
completed | April 3, 2026, 9:22 p.m. |
Created at: March 30, 2026, 7:03 p.m.