Triple
T25235898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saami Saami |
E632334
|
entity |
| Predicate | hasHindiVersion |
P166852
|
FINISHED |
| Object | Saami Saami (Hindi) |
—
|
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: Saami Saami (Hindi) | Statement: [Saami Saami, hasHindiVersion, Saami Saami (Hindi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHindiVersion Context triple: [Saami Saami, hasHindiVersion, Saami Saami (Hindi)]
-
A.
hasKoreanVersion
Indicates that something has a corresponding version or counterpart that is in the Korean language.
-
B.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
C.
hasBilingualVersions
Indicates that something exists in two different language versions or forms.
-
D.
hasChineseVersion
Indicates that an entity has a corresponding version or representation available in Chinese.
-
E.
HindiTitle
chosen
Indicates that one entity serves as the Hindi-language title or name for another entity.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 1:07 p.m.