Triple
T18686737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jin’an District |
E456885
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Lu’an |
—
|
NE NERFINISHED |
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: Lu’an | Statement: [Jin’an District, hasAdministrativeCenter, Lu’an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu’an Context triple: [Jin’an District, hasAdministrativeCenter, Lu’an]
-
A.
Lu’an
chosen
Lu’an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain, tea production, and historical sites.
-
B.
Wushe
Wushe is a mountainous region in central Taiwan historically inhabited by Indigenous Seediq people and known as the site of the 1930 Wushe Incident.
-
C.
Paoting
Paoting is an older romanized spelling of Baoding, a major city in Hebei Province, northern China.
-
D.
Yongren
Yongren is a Chinese given name that can be borne by individuals such as the character Chen Yongren.
-
E.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.