Triple
T15661390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RCTP |
E376573
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dayuan District |
E445775
|
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: Dayuan District | Statement: [RCTP, locatedIn, Dayuan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayuan District Context triple: [RCTP, locatedIn, Dayuan District]
-
A.
Dayuan District
chosen
Dayuan District is a coastal district of Taoyuan City in northwestern Taiwan best known for hosting Taiwan Taoyuan International Airport, the country’s main international gateway.
-
B.
Yantan District
Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan Province, China.
-
C.
Daoli District
Daoli District is a central urban district of Harbin, China, known for its historic architecture, commercial streets, and role as a cultural and administrative hub of the city.
-
D.
Lishi District
Lishi District is an urban administrative district in Shanxi Province, China, serving as the political and economic center of Lüliang City.
-
E.
Qidu District
Qidu District is an administrative district of Keelung City in northern Taiwan, known for its residential areas and transportation links to greater 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a1f8d648190b9c6280b875a17e4 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 4:15 a.m.