Triple
T10925067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warangal |
E258043
|
entity |
| Predicate | populationRankInTelangana |
P96681
|
FINISHED |
| Object | one of the largest cities in Telangana |
—
|
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: one of the largest cities in Telangana | Statement: [Warangal, populationRankInTelangana, one of the largest cities in Telangana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInTelangana Context triple: [Warangal, populationRankInTelangana, one of the largest cities in Telangana]
-
A.
populationRankInTexas
Indicates the relative position of an entity in terms of population size compared to other entities within Texas.
-
B.
populationRankInWestBengal
Indicates the relative position of an entity in terms of population size compared to other entities within West Bengal.
-
C.
rankByLengthInIndia
Indicates an ordering of items based on their length specifically within the context or boundaries of India.
-
D.
populationRankInSindh
Indicates the relative position of an entity in terms of population size compared to other entities within Sindh.
-
E.
locationUnionTerritory
Indicates that a location is situated within, or is part of, a specific union territory.
- F. None of above. chosen
Provenance (4 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708f7ab48190b60a4bb8fdb17c8e |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:22 p.m.