Triple
T23270263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuhio Highway |
E588267
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Kapaa |
—
|
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: Kapaa | Statement: [Kuhio Highway, connects, Kapaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapaa Context triple: [Kuhio Highway, connects, Kapaa]
-
A.
Kapaa
chosen
Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
-
B.
Kapa
Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
-
C.
Kapu
Kapu is a prominent agrarian community in the Indian state of Andhra Pradesh, traditionally associated with farming and landholding and classified among the major Telugu-speaking castes.
-
D.
Kakapora
Kakapora is a town in the Pulwama district of Jammu and Kashmir, India, known for its agrarian setting and proximity to key transport routes in the Kashmir Valley.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:45 p.m.