Triple

T36386556
Position Surface form Disambiguated ID Type / Status
Subject Telangana Council of Ministers E896210 entity
Predicate hasPart P35 FINISHED
Object Cabinet Ministers of Telangana
The Cabinet Ministers of Telangana are the senior executive officials who head various state government departments and collectively assist the Chief Minister in governing the Indian state of Telangana.
E896210 NE 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: Cabinet Ministers of Telangana | Statement: [Telangana Council of Ministers, hasPart, Cabinet Ministers of Telangana]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cabinet Ministers of Telangana
Triple: [Telangana Council of Ministers, hasPart, Cabinet Ministers of Telangana]
Generated description
The Cabinet Ministers of Telangana are the senior executive officials who head various state government departments and collectively assist the Chief Minister in governing the Indian state of Telangana.

Provenance (5 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_69f76e51d358819092bbc5f119f49476 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bcd65000819096cac21525568c8d completed May 3, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b4366538819096c503648abacf89 completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b56743d481909ee8941921741b06 completed June 22, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a39b60f7a908190b2047a12fcbee88e completed June 22, 2026, 10:24 p.m.
Created at: May 3, 2026, 4:10 p.m.