Triple
T23406715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenting National Park |
E559953
|
entity |
| Predicate | hasMajorSettlementNearby |
P3883
|
FINISHED |
| Object | Hengchun |
—
|
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: Hengchun | Statement: [Kenting National Park, hasMajorSettlementNearby, Hengchun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hengchun Context triple: [Kenting National Park, hasMajorSettlementNearby, Hengchun]
-
A.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
-
B.
Hengchun Township
chosen
Hengchun Township is a coastal town at the southern tip of Taiwan known for its historic walled city, tropical climate, and proximity to Kenting National Park.
-
C.
Hengchun Peninsula
Hengchun Peninsula is the southernmost part of Taiwan, known for its tropical climate, coastal scenery, and the popular Kenting National Park.
-
D.
Yuanlin
Yuanlin is a township-level city in Changhua County, central Taiwan, known as a regional commercial and transportation hub.
-
E.
Aiping
Aiping is a given name, notably borne by Chinese military leader and politician Zhang Aiping.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50e607c8190ba0a22e89862a2d9 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.