Triple
T15642261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bali District |
E376096
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Guanyin District |
E653178
|
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: Guanyin District | Statement: [Bali District, borders, Guanyin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guanyin District Context triple: [Bali District, borders, Guanyin District]
-
A.
Guanyin District
chosen
Guanyin District is a coastal administrative district in Taoyuan City, Taiwan, known for its agricultural areas, industrial zones, and scenic shoreline.
-
B.
Yinhai District
Yinhai District is an urban district of Beihai City in Guangxi, China, known for its coastal location and role in the city's economic and administrative activities.
-
C.
Guan District
Guan District is an administrative district located within Ghana's Oti Region.
-
D.
Luzhu District
Luzhu District is an urban district in Taoyuan City, Taiwan, known for its residential communities, industrial zones, and proximity to Taoyuan International Airport.
-
E.
Xizhi District
Xizhi District is a suburban district of New Taipei City in northern Taiwan, known for its residential communities, technology parks, and convenient access to central Taipei.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff875e49748190a2a4aceb649762b4 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:15 a.m.