Triple
T18401955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tutukaka Coast |
E450017
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Matapouri |
—
|
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: Matapouri | Statement: [Tutukaka Coast, hasPart, Matapouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matapouri Context triple: [Tutukaka Coast, hasPart, Matapouri]
-
A.
Matapouri
chosen
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
B.
Lanteau
Lanteau is a relatively uncommon surname, most notably associated with American character actor William Lanteau.
-
C.
Pumanque
Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
-
D.
Houlle
Houlle is a small commune in northern France’s Pas-de-Calais department, known for its rural character and traditional French countryside setting.
-
E.
Suippe
The Suippe is a river in northeastern France that flows through the Champagne region before joining the Aisne.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5195185b08190bd3b5471cdc047b0 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.