Triple
T6554045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anqing |
E152399
|
entity |
| Predicate | isNamedAfter |
P63
|
FINISHED |
| Object | Anqing (historical prefecture) |
E152399
|
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: Anqing (historical prefecture) | Statement: [Anqing, isNamedAfter, Anqing (historical prefecture)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anqing (historical prefecture) Context triple: [Anqing, isNamedAfter, Anqing (historical prefecture)]
-
A.
Anqing
chosen
Anqing is a prefecture-level city in southwestern Anhui Province, China, known historically as a regional political and military center along the Yangtze River.
-
B.
Chizhou
Chizhou is a prefecture-level city in southeastern China known for its proximity to the scenic Mount Jiuhua, one of the four sacred mountains of Chinese Buddhism.
-
C.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
-
D.
Bengbu
Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
-
E.
Lu'an
Lu'an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain and tea production.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae0847d88190b38f9d7dba0faae1 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb862e308190af1028c76484a1ea |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:51 p.m.