Triple
T11498313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzhou |
E272600
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Jiangyang District |
E936784
|
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: Jiangyang District | Statement: [Luzhou, hasDistrict, Jiangyang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiangyang District Context triple: [Luzhou, hasDistrict, Jiangyang District]
-
A.
Jiangyang District
chosen
Jiangyang District is the central urban district and administrative core of Luzhou in Sichuan Province, China.
-
B.
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
C.
Qianjiang District
Qianjiang District is an administrative district in southeastern Chongqing, China, known for its mountainous terrain and role as a regional transport and economic hub.
-
D.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
-
E.
Tongguan District
Tongguan District is an urban administrative district within Tongling City in Anhui Province, eastern China, known for its role in the region’s industrial and economic activities.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12c1cd048190b58410542005acbc |
completed | April 27, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:36 p.m.