Triple
T15378533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lishui |
E367736
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Liandu District
Liandu District is the central urban district and administrative seat of Lishui City in Zhejiang Province, China.
|
E1247300
|
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: Liandu District | Statement: [Lishui, hasAdministrativeDivision, Liandu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liandu District Context triple: [Lishui, hasAdministrativeDivision, Liandu District]
-
A.
Linwei District
Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
-
B.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
C.
Dawan District
Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
-
D.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
E.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
- 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: Liandu District Triple: [Lishui, hasAdministrativeDivision, Liandu District]
Generated description
Liandu District is the central urban district and administrative seat of Lishui City in Zhejiang Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liandu District Target entity description: Liandu District is the central urban district and administrative seat of Lishui City in Zhejiang Province, China.
-
A.
Linwei District
Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
-
B.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
C.
Dawan District
Dawan District is an administrative district in Klungkung Regency on the island of Bali, Indonesia.
-
D.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
E.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232149f88190b385fca6a7588d7b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0123ddb9148190af5037d834e1fe54 |
completed | May 11, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01248b53d88190a4ec4fa6cee89bb1 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 3:19 a.m.