Triple
T36281939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ñandeva |
E892962
|
entity |
| Predicate | broaderEthnonym |
P185055
|
FINISHED |
| Object | Ava Guarani |
—
|
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: Ava Guarani | Statement: [Ñandeva, broaderEthnonym, Ava Guarani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broaderEthnonym Context triple: [Ñandeva, broaderEthnonym, Ava Guarani]
-
A.
broaderEthnicIdentity
chosen
Indicates that one ethnic identity is a more general or encompassing category that includes another, more specific ethnic identity.
-
B.
isEthnonymFor
Indicates that one term is the ethnonym (name of a people or ethnic group) used to refer to another entity.
-
C.
ethnonymLanguageFamily
Indicates a relationship where an ethnonym is associated with the language family traditionally spoken or linked to that ethnic group.
-
D.
ethnonymAttestedIn
Indicates that the name of an ethnic group (ethnonym) is documented or recorded in a specified source, context, or medium.
-
E.
ethnonymScope
Indicates the scope or range of people, groups, or contexts to which a given ethnonym (name of an ethnic group) applies.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.