Triple

T36313655
Position Surface form Disambiguated ID Type / Status
Subject Emblem of Telangana High Court E894128 entity
Predicate usedOn P2367 FINISHED
Object judgments of Telangana High Court
Judgments of the Telangana High Court are the official written decisions and legal rulings issued by the state's highest judicial authority, interpreting and applying law within its jurisdiction.
E258046 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: judgments of Telangana High Court | Statement: [Emblem of Telangana High Court, usedOn, judgments of Telangana High Court]
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: judgments of Telangana High Court
Triple: [Emblem of Telangana High Court, usedOn, judgments of Telangana High Court]
Generated description
Judgments of the Telangana High Court are the official written decisions and legal rulings issued by the state's highest judicial authority, interpreting and applying law within its jurisdiction.

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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba25a0988190b7c864452b64730d completed May 3, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d8a69a881908185efadfc049388 completed June 22, 2026, 6:23 p.m.
NEDg Description generation batch_6a397eb358e081908979542ee1da30d4 completed June 22, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a397f8e6c948190840bc5786c6ad123 completed June 22, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:09 p.m.