Triple
T7146374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moriori |
E166578
|
entity |
| Predicate | correctView |
P75100
|
FINISHED |
| Object | a Polynesian people closely related to Māori |
—
|
LITERAL 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: a Polynesian people closely related to Māori | Statement: [Moriori, correctView, a Polynesian people closely related to Māori]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correctView Context triple: [Moriori, correctView, a Polynesian people closely related to Māori]
-
A.
correctsFor
Indicates that one entity adjusts, compensates, or accounts for the effects or errors introduced by another entity.
-
B.
Indicates that the subject is classified as an unincorporated community, meaning it is a populated area not governed by its own municipal corporation.
-
C.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
D.
induction
Indicates the process by which one entity causes, initiates, or brings about a state, action, or condition in another.
-
E.
reversibility
Indicates that a process, action, or transformation can be undone or reversed to restore the original state or conditions.
- F. None of above. chosen
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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d3c48c8190a71a61a1d50cd7da |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.