Triple
T7767859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaihua |
E178994
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object |
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
|
E691967
|
NE FINISHED |
How this triple was built (4 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, hasAdministrativeCenter, Hecheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hecheng District Context triple: [Huaihua, hasAdministrativeCenter, Hecheng District]
-
A.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
B.
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.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
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.
-
E.
Xiejiaji District
Xiejiaji District is an urban administrative district of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hecheng District Triple: [Huaihua, hasAdministrativeCenter, Hecheng District]
Generated description
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hecheng District Target entity description: Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
A.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
B.
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.
-
C.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
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.
-
E.
Xiejiaji District
Xiejiaji District is an urban administrative district of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
- F. None of above. chosen
Provenance (5 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_69c9cbcc02fc8190b0f9049dffc22021 |
completed | March 30, 2026, 1:03 a.m. |
| NEDg | Description generation | batch_69c9cc6e846881908d0c874d3d8a2c44 |
completed | March 30, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9cccb08c88190afa09c052c6454af |
completed | March 30, 2026, 1:07 a.m. |
Created at: March 27, 2026, 4:11 p.m.