Triple
T9293776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yao City Council |
E223586
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Yao City |
E329385
|
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: Yao City | Statement: [Yao City Council, governs, Yao City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yao City Context triple: [Yao City Council, governs, Yao City]
-
A.
Yao City
chosen
Yao City is a municipality in Osaka Prefecture, Japan, known as a residential and industrial suburb within the Osaka metropolitan area.
-
B.
Hezhou
Hezhou is a prefecture-level city in eastern Guangxi, China, known for its karst landscapes, mineral resources, and role as a regional transport hub.
-
C.
Cathay City
Cathay City is Cathay Pacific’s purpose-built corporate headquarters complex located near Hong Kong International Airport, housing the airline’s main offices, training facilities, and support operations.
-
D.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
E.
Huaying City
Huaying City is a county-level city in eastern Sichuan Province, China, administered by Guang’an and known for its hilly terrain and red tourism sites linked to revolutionary history.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089a2ed0819086b2e4219ff2453e |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3865ef081909f5f258cac44ae8b |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:35 p.m.