Triple

T10591025
Position Surface form Disambiguated ID Type / Status
Subject Ghat District E249986 entity
Predicate administrativeCentre P1474 FINISHED
Object Ghat E50604 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: Ghat | Statement: [Ghat District, administrativeCentre, Ghat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghat
Context triple: [Ghat District, administrativeCentre, Ghat]
  • A. Ghat chosen
    Ghat is a remote oasis town in southwestern Libya, historically significant as a Saharan caravan hub and gateway to the surrounding desert landscapes.
  • B. Goghat
    Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly region.
  • C. Guptar Ghat
    Guptar Ghat is a sacred riverfront site in Ayodhya associated with Hindu religious traditions and pilgrimage along the banks of the Sarayu River.
  • D. Nagara
    Nagara is a traditional North Indian temple architectural style characterized by its beehive-shaped tower (shikhara) and intricate stone carvings.
  • E. Gogra
    Gogra is an alternative name for Kauriala, a locality whose identity is primarily tied to this regional designation.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277b66448190b668c47fe6af4f3d completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b59f80c81908afa84e4d9ffefc1 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:40 p.m.