Triple
T7080572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaibei |
E164942
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Lieshan District
Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern China.
|
E685263
|
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: Lieshan District | Statement: [Huaibei, hasDistrict, Lieshan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieshan District Context triple: [Huaibei, hasDistrict, Lieshan District]
-
A.
Tieshan District
Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
-
B.
Huaishang District
Huaishang District is an urban administrative district of Bengbu City in Anhui Province, China, known for its role in the city’s industrial and transportation development.
-
C.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
- 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: Lieshan District Triple: [Huaibei, hasDistrict, Lieshan District]
Generated description
Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lieshan District Target entity description: Lieshan District is an urban administrative district of Huaibei City in Anhui Province, eastern China.
-
A.
Tieshan District
Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
-
B.
Huaishang District
Huaishang District is an urban administrative district of Bengbu City in Anhui Province, China, known for its role in the city’s industrial and transportation development.
-
C.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Licheng District
Licheng District is a central urban district of Quanzhou in Fujian Province, China, known for its historic architecture and cultural heritage.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f063488190b9e1c614a9294bd1 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4de5bc08190a569701311631bd3 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8bb0d411881909cf49d1ccc59d9b7 |
completed | March 29, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bb5eeb3c81908b08a6396e8a01ab |
completed | March 29, 2026, 5:40 a.m. |
Created at: March 27, 2026, 2:40 p.m.