Triple

T3347424
Position Surface form Disambiguated ID Type / Status
Subject Barrackpore E70407 entity
Predicate nearbyTown P3883 FINISHED
Object Titagarh E165051 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: Titagarh | Statement: [Barrackpore, nearbyTown, Titagarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titagarh
Context triple: [Barrackpore, nearbyTown, Titagarh]
  • A. Titagarh chosen
    Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
  • B. Jakhu Hill
    Jakhu Hill is a prominent hilltop in Shimla, India, known for its ancient Hanuman temple and panoramic views of the surrounding Himalayan landscape.
  • C. Shakarparian Hills
    Shakarparian Hills is a scenic hill area in Islamabad, Pakistan, known for its viewpoints, parks, and national monuments overlooking the city.
  • D. Mount Abu plateau
    Mount Abu plateau is a highland region in western India known for its cool climate, scenic landscapes, and the hill station of Mount Abu.
  • E. Baghat
    Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21c64448190a29631ea8f029868 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252706408190a86038ca1fe930fd completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.