Triple
T36276940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kizh |
E892834
|
entity |
| Predicate | alternativeToExonym |
P111282
|
FINISHED |
| Object | Gabrielino |
—
|
NE NERFINISHED |
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: Gabrielino | Statement: [Kizh, alternativeToExonym, Gabrielino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeToExonym Context triple: [Kizh, alternativeToExonym, Gabrielino]
-
A.
hasExonym
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
-
B.
hasAlternativeToponymy
Indicates that an entity is associated with one or more alternative place names or toponyms used to refer to the same geographic location.
-
C.
exonymStatus
Indicates the status or classification of a name used in one language to refer to a place, people, or entity known by a different name in its own language.
-
D.
alternativeNameOfTerritory
Indicates that one territory is known or referred to by an alternative name corresponding to another territory.
-
E.
equivalentEthnonym
chosen
Indicates that two different ethnonyms refer to the same ethnic group or people.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.