Triple
T21556166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjara |
E531896
|
entity |
| Predicate | socialStatusInIndia |
P89300
|
FINISHED |
| Object | Scheduled Tribe (in several states) |
—
|
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: Scheduled Tribe (in several states) | Statement: [Banjara, socialStatusInIndia, Scheduled Tribe (in several states)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusInIndia Context triple: [Banjara, socialStatusInIndia, Scheduled Tribe (in several states)]
-
A.
legalStatusAccordingToIndia
chosen
Indicates the legal status or classification of an entity as defined specifically by the laws and regulations of India.
-
B.
stateInIndia
Indicates that a given state is located within the country of India.
-
C.
subjectSocialStatus
Indicates the social standing or rank that the subject holds within a society or group.
-
D.
areaRankInIndia
Indicates the relative position of an entity when all entities in India are ordered by their area size.
-
E.
rankByPopulationInIndia
Indicates the relative ordering of entities based on their population size within India.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2df48c88190894b6b08a5cb6390 |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.