Triple
T18686739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jin’an District |
E456885
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Lu’an urban area |
—
|
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 urban area | Statement: [Jin’an District, isPartOf, Lu’an urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu’an urban area Context triple: [Jin’an District, isPartOf, Lu’an urban area]
-
A.
Lu’an City urban area
chosen
Lu’an City urban area is the central urban district and administrative hub of Lu’an in Anhui Province, China.
-
B.
Lanshan urban area
Lanshan urban area is a principal urban district of Rizhao, a coastal city in Shandong Province, China, known for its port and industrial development.
-
C.
Lu’an
Lu’an is a prefecture-level city in western Anhui Province, China, known for its mountainous terrain, tea production, and historical sites.
-
D.
Pine Mountain urban area
Pine Mountain urban area is the broader built-up settlement encompassing the town center of Pine Mountain and its surrounding residential and commercial zones.
-
E.
Alabaster metropolitan area
The Alabaster metropolitan area is a suburban region centered on the city of Alabaster in Alabama, forming part of the greater Birmingham–Hoover urban area.
- 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.