Triple

T12058640
Position Surface form Disambiguated ID Type / Status
Subject Indus Highway E287107 entity
Predicate connectsCity P4245 FINISHED
Object Jacobabad E677858 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: Jacobabad | Statement: [Indus Highway, connectsCity, Jacobabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacobabad
Context triple: [Indus Highway, connectsCity, Jacobabad]
  • A. Jacobabad chosen
    Jacobabad is a city in Pakistan’s Sindh province known for its extreme heat, often recording some of the highest temperatures in the country and the world.
  • B. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • C. Katihar
    Katihar is a city in eastern India known as a major railway junction and commercial center in the state of Bihar.
  • D. Bijnor
    Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
  • E. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49df216bc8190933e08f495f4d22f completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.