Triple
T9579985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon River / Ōtākaro |
E231144
|
entity |
| Predicate | hasDualNameStatus |
P24120
|
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, hasDualNameStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDualNameStatus Context triple: [Avon River / Ōtākaro, hasDualNameStatus, true]
-
A.
dualCitizenshipStatus
Indicates that an entity holds legal citizenship in two different countries simultaneously.
-
B.
nameStatus
Indicates the status or condition associated with an entity’s name, such as whether it is current, preferred, alternate, or deprecated.
-
C.
bilingualName
chosen
Indicates that an entity has a name expressed in two different languages, linking the entity to its bilingual designation.
-
D.
dualLicensed
Indicates that an entity is simultaneously licensed under two distinct licenses or licensing regimes.
-
E.
namesakeStatus
Indicates that one entity serves as the namesake of another, or that two entities share a relationship based on having the same name.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ca96a48190a6fbe88387be6883 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.