Triple
T7872872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyderabad-Karnataka |
E182779
|
entity |
| Predicate | hasLinguisticMinority |
P52733
|
FINISHED |
| Object | Urdu speakers |
—
|
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: Urdu speakers | Statement: [Hyderabad-Karnataka, hasLinguisticMinority, Urdu speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticMinority Context triple: [Hyderabad-Karnataka, hasLinguisticMinority, Urdu speakers]
-
A.
linguisticMinorityStatus
Indicates that an entity belongs to a group whose primary language is not the dominant or official language of the surrounding society or region.
-
B.
linguisticMinorityIn
chosen
Indicates that a group or population constitutes a linguistic minority within a specified geographic or political region.
-
C.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
-
D.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
E.
isOfficialMinorityLanguageIn
Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a6d93881908d68386e49bea1e3 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:56 p.m.