Triple
T8219737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulong Karst |
E192027
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Wulong District |
E197075
|
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: Wulong District | Statement: [Wulong Karst, locatedIn, Wulong District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wulong District Context triple: [Wulong Karst, locatedIn, Wulong District]
-
A.
Wulong District
chosen
Wulong District is a scenic mountainous district in Chongqing, China, known for its karst landscapes and UNESCO World Heritage-listed natural attractions.
-
B.
Xiling District
Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
-
C.
Weicheng District
Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, China.
-
D.
Tunxi District
Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
-
E.
Wugu District
Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7772b76c8190b1952650c736eb91 |
completed | March 31, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34c010b48190b564fd365a5304d1 |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:45 p.m.