Triple
T16976556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Awa |
E411827
|
entity |
| Predicate | hasMaraeIn |
P37005
|
FINISHED |
| Object |
Matatā
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
|
E1243593
|
NE FINISHED |
How this triple was built (4 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: Matatā | Statement: [Ngāti Awa, hasMaraeIn, Matatā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matatā Context triple: [Ngāti Awa, hasMaraeIn, Matatā]
-
A.
Matatū
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
-
B.
Matemale
Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
-
C.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
D.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matatā Triple: [Ngāti Awa, hasMaraeIn, Matatā]
Generated description
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matatā Target entity description: Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
-
A.
Matatū
Matatū is a professional New Zealand women's rugby union team that competes in the Super Rugby Aupiki competition.
-
B.
Matemale
Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
-
C.
Matta
Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
-
D.
Matta
Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- F. None of above. chosen
Provenance (5 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_6a00d4755ffc8190a5c861462e33d526 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d687aed88190915e20e8fa517a2b |
completed | May 10, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d6ecbf60819095e3f8418a84d485 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 10, 2026, 5:32 a.m.