Triple
T7767899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaihua |
E178994
|
entity |
| Predicate | hasUrbanDistrict |
P11388
|
FINISHED |
| Object | Hecheng District |
E691967
|
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: Hecheng District | Statement: [Huaihua, hasUrbanDistrict, Hecheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hecheng District Context triple: [Huaihua, hasUrbanDistrict, Hecheng District]
-
A.
Hecheng District
chosen
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
B.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
C.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
-
D.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
E.
Sanzhi District
Sanzhi District is a rural coastal district in northern Taiwan known for its scenic landscapes, hot springs, and agricultural produce within New Taipei City.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70435b7f88190a5e68e6ae701c58f |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cd7f9b2c81908a1f77a9cc37a0be |
completed | March 30, 2026, 1:10 a.m. |
Created at: March 27, 2026, 4:11 p.m.