Triple

T4958559
Position Surface form Disambiguated ID Type / Status
Subject Ambala district E111346 entity
Predicate hasMajorCity P316 FINISHED
Object Ambala City E28747 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: Ambala City | Statement: [Ambala district, hasMajorCity, Ambala City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambala City
Context triple: [Ambala district, hasMajorCity, Ambala City]
  • A. Ambala chosen
    Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
  • B. Saharanpur
    Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
  • C. Rewari
    Rewari is a historic city in the Indian state of Haryana, located near Delhi and known for its brass industry and strategic position in northern India.
  • D. Kaithal
    Kaithal is a historic town in the Indian state of Haryana, known for its medieval heritage and association with the Delhi Sultanate.
  • E. Ambala district
    Ambala district is an administrative district in the northern Indian state of Haryana, known for its strategic location near the Punjab border and the city of Ambala, a major railway and military hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8be078819094cbf65b0fcdf8dd completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:32 p.m.