Triple
T7946118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enshi Xujiaping Airport |
E184501
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Enshi |
E241156
|
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: Enshi | Statement: [Enshi Xujiaping Airport, locatedIn, Enshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enshi Context triple: [Enshi Xujiaping Airport, locatedIn, Enshi]
-
A.
Enshi City
chosen
Enshi City is a county-level city in southwestern Hubei Province, China, known for its mountainous karst landscapes and role as a cultural center for the Tujia and Miao ethnic groups.
-
B.
Meishan
Meishan is a county-level city in Sichuan Province, China, known as the hometown of the famous Song dynasty poet Su Shi and for its rich cultural heritage and agricultural surroundings.
-
C.
Ziyang
Ziyang is the art name (courtesy name) of Zhu Xi, the influential Neo-Confucian philosopher of the Southern Song dynasty.
-
D.
Ziyang
Ziyang is a city in Sichuan Province, China, located within the fertile and densely populated Chengdu Plain region.
-
E.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbdf7679881909a14c4786c8e3e76 |
completed | April 1, 2026, 6:40 a.m. |
Created at: March 30, 2026, 5:09 p.m.