Triple
T26159185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangloi |
E660058
|
entity |
| Predicate | spokenInStateOrTerritory |
P31689
|
FINISHED |
| Object | Uttarakhand |
—
|
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: Uttarakhand | Statement: [Rangloi, spokenInStateOrTerritory, Uttarakhand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInStateOrTerritory Context triple: [Rangloi, spokenInStateOrTerritory, Uttarakhand]
-
A.
spokenInState
Indicates that a language or dialect is spoken within the geographic or political boundaries of a particular state.
-
B.
spokenInCounty
Indicates that a particular language or dialect is spoken within the geographic area of a specified county.
-
C.
spokenInIndianState
chosen
Indicates that a language is spoken within the geographical boundaries of a specific Indian state.
-
D.
usedByStateOrTerritory
Indicates that something (such as an object, system, or resource) is utilized or employed by a specific state or territory.
-
E.
spokenInLocality
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c1487748190beb5bcdfe11837f1 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 8:29 p.m.