Triple
T1693051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqing |
E36590
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | 渝 |
E36590
|
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: 渝 | Statement: [Chongqing, vehicleRegistrationCode, 渝]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 渝 Context triple: [Chongqing, vehicleRegistrationCode, 渝]
-
A.
Luzhou
Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
-
B.
Chongqing
chosen
Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
-
C.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
-
D.
Xiangyang
Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
-
E.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b228988190a7d19003ddf10ce5 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7996a39481909152a6a799659c93 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.