Triple
T18416780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langzhong |
E441913
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Langzhong Ancient Town |
—
|
NE NERFINISHED |
How this triple was built (3 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: Langzhong Ancient Town | Statement: [Langzhong, hasPart, Langzhong Ancient Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langzhong Ancient Town Context triple: [Langzhong, hasPart, Langzhong Ancient Town]
-
A.
Wutongqiao ancient town
Wutongqiao ancient town is a historic riverside settlement in Leshan, Sichuan, known for its traditional architecture, old streets, and preserved cultural heritage.
-
B.
Ciqikou Ancient Town
Ciqikou Ancient Town is a historic riverside neighborhood in Chongqing, China, known for its well-preserved traditional architecture, teahouses, and bustling old streets.
-
C.
Qibao Ancient Town
Qibao Ancient Town is a historic water town in Shanghai known for its preserved traditional architecture, canals, and bustling old streets filled with shops and street food.
-
D.
Yanguan Ancient Town
Yanguan Ancient Town is a historic riverside settlement in Haining, China, famed for its well-preserved traditional architecture and as a prime viewing spot for the Qiantang River tidal bore.
-
E.
Jinxi Ancient Town
Jinxi Ancient Town is a historic water town in Jiangsu Province, China, known for its ancient bridges, canals, and well-preserved traditional architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langzhong Ancient Town Target entity description: Langzhong Ancient Town is a well-preserved historic riverside town in Sichuan, China, renowned for its traditional architecture, ancient city layout, and rich cultural heritage dating back to the Three Kingdoms period.
-
A.
Wutongqiao ancient town
Wutongqiao ancient town is a historic riverside settlement in Leshan, Sichuan, known for its traditional architecture, old streets, and preserved cultural heritage.
-
B.
Ciqikou Ancient Town
Ciqikou Ancient Town is a historic riverside neighborhood in Chongqing, China, known for its well-preserved traditional architecture, teahouses, and bustling old streets.
-
C.
Qibao Ancient Town
Qibao Ancient Town is a historic water town in Shanghai known for its preserved traditional architecture, canals, and bustling old streets filled with shops and street food.
-
D.
Yanguan Ancient Town
Yanguan Ancient Town is a historic riverside settlement in Haining, China, famed for its well-preserved traditional architecture and as a prime viewing spot for the Qiantang River tidal bore.
-
E.
Jinxi Ancient Town
Jinxi Ancient Town is a historic water town in Jiangsu Province, China, known for its ancient bridges, canals, and well-preserved traditional architecture.
- F. None of above. chosen
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a284b608190b77c360a72aceb7a |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.