Triple
T13024802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikato District |
E326274
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Whatawhata |
E392346
|
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: Whatawhata | Statement: [Waikato District, hasSettlement, Whatawhata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whatawhata Context triple: [Waikato District, hasSettlement, Whatawhata]
-
A.
Whatawhata
chosen
Whatawhata is a small rural settlement in the Waikato region of New Zealand, located west of Hamilton and known for its farming community and river scenery.
-
B.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
-
C.
Chupan
Chupan was a prominent 14th-century Mongol noble and military commander whose name was later given to the Chobanid dynasty in Persia.
-
D.
Cuitiva
Cuitiva is a small town in the Boyacá Department of Colombia, located in the Andean highlands near Lake Tota and known for its rural landscapes and cool climate.
-
E.
Petatlán
Petatlán is a town and municipality in the Mexican state of Guerrero, known for its agricultural production and proximity to the Pacific coast.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11c1f6c8190be1c570a7e44a313 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.