Triple
T34120243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon River / Ōtākaro |
E875104
|
entity |
| Predicate | isOfficiallyDualNamed |
P149852
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Avon River / Ōtākaro, isOfficiallyDualNamed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOfficiallyDualNamed Context triple: [Avon River / Ōtākaro, isOfficiallyDualNamed, true]
-
A.
hasOfficialDualNameWith
chosen
Indicates that two entities share an officially recognized dual or joint name used in formal contexts.
-
B.
hasOfficialNameVariant
Indicates that an entity has an alternative official form or version of its name.
-
C.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
refersToOfficialName
Indicates that one entity is referencing or using the formally recognized, official name of another entity.
-
E.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
- F. None of above.
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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:53 a.m.