Triple
T5974192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuanzhai Alleys |
E132943
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Zhai Alley |
E560164
|
NE FINISHED |
How this triple was built (2 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: Zhai Alley | Statement: [Kuanzhai Alleys, hasPart, Zhai Alley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhai Alley Context triple: [Kuanzhai Alleys, hasPart, Zhai Alley]
-
A.
Kuan Alley
chosen
Kuan Alley is one of the historic lanes within Chengdu’s Kuanzhai Alleys, known for its traditional courtyard architecture and preserved old-town atmosphere.
-
B.
Hang Dao Street
Hang Dao Street is one of the most famous and bustling commercial streets in Hanoi’s Old Quarter, known for its traditional shops, night market, and historic atmosphere.
-
C.
Anfu Road
Anfu Road is a leafy, boutique-lined street in Shanghai known for its trendy cafés, independent shops, and preserved European-style architecture.
-
D.
Fan Tan Alley
Fan Tan Alley is a historic, narrow passageway in Victoria’s Chinatown known for its tightly packed shops and status as one of the skinniest streets in Canada.
-
E.
Shantang Street
Shantang Street is a historic canal-side street in Suzhou famed for its traditional architecture, waterways, and vibrant shops and teahouses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108422220819092ac63e5ebb264b4 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.