Triple

T16061993
Position Surface form Disambiguated ID Type / Status
Subject Hansi E389633 entity
Predicate locatedNear P294 FINISHED
Object Hisar city E389632 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: Hisar city | Statement: [Hansi, locatedNear, Hisar city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hisar city
Context triple: [Hansi, locatedNear, Hisar city]
  • A. Hisar chosen
    Hisar is a major city in the Indian state of Haryana known for its historical significance, agricultural research institutions, and role as a regional commercial center.
  • B. Jahanpanah city
    Jahanpanah city was a fortified medieval urban complex in Delhi built as an imperial capital by the Tughlaq rulers of the Delhi Sultanate.
  • C. Sultanabad
    Sultanabad is the former name of the Iranian city now known as Arak, an important industrial and historical center in central Iran.
  • D. Mahmudabad
    Mahmudabad is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known for its local markets and administrative significance in the region.
  • E. Mahmudabad
    Mahmudabad is a coastal city in northern Iran, situated along the Caspian Sea in Mazandaran Province and known for its beaches and tourism.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8cca308190875432a5cf5f8616 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:57 a.m.