Triple
T6843629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshan (city) |
E157836
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tunxi District |
E668377
|
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: Tunxi District | Statement: [Huangshan (city), contains, Tunxi District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunxi District Context triple: [Huangshan (city), contains, Tunxi District]
-
A.
Tunxi District
chosen
Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
-
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.
Fengrun District
Fengrun District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
-
D.
Xisaishan District
Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
-
E.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8569b932481909d41130303e21518 |
completed | March 28, 2026, 10:30 p.m. |
Created at: March 27, 2026, 2:19 p.m.