Triple
T6969110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Film Nagar, Hyderabad |
E161557
|
entity |
| Predicate | stateCapitalContext |
P16248
|
FINISHED |
| Object | located in the capital city of 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: located in the capital city of Telangana | Statement: [Film Nagar, Hyderabad, stateCapitalContext, located in the capital city of Telangana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCapitalContext Context triple: [Film Nagar, Hyderabad, stateCapitalContext, located in the capital city of Telangana]
-
A.
stateCapitalFunction
Indicates that one location serves as the official capital city and primary seat of government for a given state.
-
B.
regionCapital
chosen
Indicates that one entity is the capital city or administrative center of a specified region.
-
C.
governingStateCapital
Indicates that a state serves as the governing political authority over the specified capital city.
-
D.
coCapitalOf
Indicates that two or more cities share the status of being capital cities of the same political or administrative entity.
-
E.
stateCapitalForRegionLocatedAt
Indicates that a city serves as the capital of a particular region and is geographically located at that region.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.