Triple
T14124375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lüliang |
E339988
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object | Lishi District |
E1157588
|
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: Lishi District | Statement: [Lüliang, hasAdministrativeDivision, Lishi District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lishi District Context triple: [Lüliang, hasAdministrativeDivision, Lishi District]
-
A.
Lishi District
chosen
Lishi District is an urban administrative district in Shanxi Province, China, serving as the political and economic center of Lüliang City.
-
B.
Guiren District
Guiren District is an administrative district in the southern Taiwanese city of Tainan, known for its mix of suburban communities, agriculture, and educational institutions.
-
C.
Zhifu District
Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
-
D.
Nianzishan District
Nianzishan District is an urban district under the jurisdiction of Qiqihar City in Heilongjiang Province, northeastern China.
-
E.
Kuiwen District
Kuiwen District is an urban administrative district and commercial center of Weifang City in Shandong Province, China.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce12e78819080b3fe19c57ef3ef |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 9, 2026, 10:22 p.m.