Triple

T28092376
Position Surface form Disambiguated ID Type / Status
Subject Gujar Khan Tehsil E709988 entity
Predicate hasLocalGovernmentType P10835 FINISHED
Object Tehsil Municipal Administration
Tehsil Municipal Administration is a local government body in Pakistan responsible for municipal services, infrastructure, and administration at the tehsil (sub-district) level.
E266756 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: Tehsil Municipal Administration | Statement: [Gujar Khan Tehsil, hasLocalGovernmentType, Tehsil Municipal Administration]
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: Tehsil Municipal Administration
Triple: [Gujar Khan Tehsil, hasLocalGovernmentType, Tehsil Municipal Administration]
Generated description
Tehsil Municipal Administration is a local government body in Pakistan responsible for municipal services, infrastructure, and administration at the tehsil (sub-district) level.

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_69ef9b70fd108190a875953b2e50ca91 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f6406bdeb08190b36abe9936f82d7c completed May 2, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c91fb2c8819097d64bb35e6111fb completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15cb332fb08190b5a07e8d56ff8f68 completed May 26, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15cbefb418819096f70195dddcda5d completed May 26, 2026, 4:35 p.m.
Created at: April 27, 2026, 8:59 p.m.