Triple
T17288034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Arawa iwi |
E419709
|
entity |
| Predicate | hasHapū |
P96966
|
FINISHED |
| Object | Tapuika |
E1245374
|
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: Tapuika | Statement: [Te Arawa iwi, hasHapū, Tapuika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapuika Context triple: [Te Arawa iwi, hasHapū, Tapuika]
-
A.
Tapuika
chosen
Tapuika is a Māori iwi (tribe) of the Te Arawa confederation, traditionally based in the Bay of Plenty region of New Zealand.
-
B.
Tapuamu
Tapuamu is the principal village and administrative center on the island of Taha'a in French Polynesia.
-
C.
Spritle
Spritle is a mischievous, candy-loving young boy from the classic anime and manga series "Speed Racer," known for tagging along on his brother Speed's racing adventures.
-
D.
Landriano
Landriano is a municipality in northern Italy’s Lombardy region, historically notable as the site of a significant 16th-century battle during the Italian Wars.
-
E.
Volotea
Volotea is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43780fad88190b82193c8335e2f11 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017957c738819087341bcd51b55114 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.