Triple
T9153414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luwan District |
E219645
|
entity |
| Predicate | pinyinName |
P9333
|
FINISHED |
| Object |
Lúwān Qū
Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
|
E779954
|
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: Lúwān Qū | Statement: [Luwan District, pinyinName, Lúwān Qū]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lúwān Qū Context triple: [Luwan District, pinyinName, Lúwān Qū]
-
A.
Awaran District
Awaran District is a sparsely populated and underdeveloped administrative district in southwestern Balochistan, Pakistan, known for its rugged terrain and recurring seismic activity.
-
B.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
C.
Laworo
Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
-
D.
Chota Province
Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
-
E.
O Mon District
O Mon District is an urban district within Cần Thơ municipality in Vietnam’s Mekong Delta region, known for its canals, rice cultivation, and growing urban development.
- 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: Lúwān Qū Triple: [Luwan District, pinyinName, Lúwān Qū]
Generated description
Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lúwān Qū Target entity description: Lúwān Qū is the Mandarin pinyin name for Luwan District, a former central district of Shanghai known for its historic architecture and cultural landmarks.
-
A.
Awaran District
Awaran District is a sparsely populated and underdeveloped administrative district in southwestern Balochistan, Pakistan, known for its rugged terrain and recurring seismic activity.
-
B.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
C.
Laworo
Laworo is a town in Indonesia that serves as one of the urban centers within the province of Southeast Sulawesi.
-
D.
Chota Province
Chota Province is an administrative division in northern Peru known for its Andean highland landscapes, agriculture, and traditional cultural festivities.
-
E.
O Mon District
O Mon District is an urban district within Cần Thơ municipality in Vietnam’s Mekong Delta region, known for its canals, rice cultivation, and growing urban development.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96e323881909cbf4d6708f24f79 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04846544481909012f5c7fbbf3b0a |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d048dcd7448190bee7509495e964eb |
completed | April 3, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049b6a0188190b52f833795a8ad05 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:20 p.m.