Triple
T19035204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangitīkei District |
E465848
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Taihape |
—
|
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: Taihape | Statement: [Rangitīkei District, contains, Taihape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taihape Context triple: [Rangitīkei District, contains, Taihape]
-
A.
Taihape
chosen
Taihape is a small rural town in New Zealand’s North Island, known historically as a service centre for the surrounding farming district and for its quirky association with "gumboot" culture.
-
B.
Takutea
Takutea is an uninhabited coral atoll in the Cook Islands known for its important seabird nesting colonies and traditional conservation practices.
-
C.
Gonnoi
Gonnoi is a town in the Larissa regional unit of Thessaly, Greece, situated near the Vale of Tempi and known for its agricultural surroundings and historical roots.
-
D.
Kamakou
Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
-
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 (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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7438f748190912c28912e6b97a6 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.