Triple

T35164833
Position Surface form Disambiguated ID Type / Status
Subject Ladakh Autonomous Hill Development Council, Kargil E1015365 entity
Predicate hasSeat P3522 FINISHED
Object Kargil town
Kargil town is a key urban center in the Kargil district of Ladakh, India, known for its strategic location near the Line of Control and its role as an administrative and commercial hub in the region.
E2139111 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: Kargil town | Statement: [Ladakh Autonomous Hill Development Council, Kargil, hasSeat, Kargil town]
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: Kargil town
Triple: [Ladakh Autonomous Hill Development Council, Kargil, hasSeat, Kargil town]
Generated description
Kargil town is a key urban center in the Kargil district of Ladakh, India, known for its strategic location near the Line of Control and its role as an administrative and commercial hub in the region.

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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78d30b50c8190b24a2bdd4cee7a9b completed May 3, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382c9f59908190b64bf4c486fe99b4 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382dae6ff081908400fea77bdf056e completed June 21, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_6a382e98a29c8190baf0ade40125d39a completed June 21, 2026, 6:34 p.m.
Created at: May 3, 2026, 4:02 p.m.