Triple
T16131768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapiti Coast |
E391415
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Paekākāriki |
E907699
|
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: Paekākāriki | Statement: [Kapiti Coast, hasTown, Paekākāriki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paekākāriki Context triple: [Kapiti Coast, hasTown, Paekākāriki]
-
A.
Paekākāriki
chosen
Paekākāriki is a small coastal village on New Zealand’s Kāpiti Coast, known for its beaches, scenic views, and role as a gateway to nearby nature reserves and walking tracks.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Te Kao
Te Kao is a small rural community at the northern end of New Zealand’s North Island, known for its strong Māori heritage and proximity to Ninety Mile Beach.
-
D.
Nanakuli
Nanakuli is a coastal community on the leeward side of Oahu in Hawaii, known for its beaches and strong Native Hawaiian presence.
-
E.
Kusaie
Kusaie is an alternate name for the Kosraean language spoken on the Micronesian island of Kosrae.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.