Triple
T36493866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawhia |
E899123
|
entity |
| Predicate | associatedWithWaka |
P127662
|
FINISHED |
| Object | Tainui waka |
E820124
|
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: Tainui waka | Statement: [Kawhia, associatedWithWaka, Tainui waka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWaka Context triple: [Kawhia, associatedWithWaka, Tainui waka]
-
A.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
associatedWithGimmick
Indicates that one entity is connected or linked to a particular gimmick, typically as a defining feature, strategy, or promotional element.
-
C.
associatedWithIwi
chosen
Indicates a relationship in which an entity is connected or linked to a particular iwi (tribe), typically through affiliation, relevance, or involvement.
-
D.
associatedWithStand
Indicates a relationship where an entity is linked or connected to a particular stand, such as being located at, operating in, or otherwise related to that stand.
-
E.
associatedWithWorkOf
Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
- F. None of above.
Provenance (4 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39cfe4b4988190a43f86e2656d1931 |
completed | June 23, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.