Triple
T14338866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Campus, Hefei |
E355538
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Shushan District |
E495008
|
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: Shushan District | Statement: [East Campus, Hefei, locatedInDistrict, Shushan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shushan District Context triple: [East Campus, Hefei, locatedInDistrict, Shushan District]
-
A.
Shushan District
chosen
Shushan District is an urban district of Hefei, the capital of Anhui Province in eastern China, known for its role as a key administrative, educational, and commercial center of the city.
-
B.
Weidu District
Weidu District is an urban district that serves as the central administrative area of Xuchang city in Henan Province, China.
-
C.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
D.
Dadukou District
Dadukou District is an urban administrative district of Chongqing, China, known historically for its heavy industry and steel production.
-
E.
Kang District
Kang District is an administrative district located in Nimruz Province in southwestern Afghanistan.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469bc538819099ed5b7061cf140d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.