Triple
T16976554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Awa |
E411827
|
entity |
| Predicate | hasMaraeIn |
P37005
|
FINISHED |
| Object | Edgecumbe |
E1242786
|
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: Edgecumbe | Statement: [Ngāti Awa, hasMaraeIn, Edgecumbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgecumbe Context triple: [Ngāti Awa, hasMaraeIn, Edgecumbe]
-
A.
Edgecumbe
chosen
Edgecumbe is a small rural town in New Zealand’s Bay of Plenty region, known for its dairy farming community and history of significant flooding and earthquakes.
-
B.
Mount Edgecumbe
Mount Edgecumbe is a prominent stratovolcano in southeastern Alaska known for its distinctive cone shape and scenic views near Sitka.
-
C.
Te Puia
Te Puia is a major Māori cultural and geothermal tourism center in Rotorua, New Zealand, renowned for its geysers, hot springs, and traditional arts and crafts institute.
-
D.
Yipounou
Yipounou is an alternate name for Yipunu, a Bantu language spoken primarily by the Punu people of Gabon.
-
E.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d183ff648190a3cb47242bf7e6ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.