Triple

T5992163
Position Surface form Disambiguated ID Type / Status
Subject Ghomalaʼ E133374 entity
Predicate hasAlternativeName P39 FINISHED
Object Ghomala E133374 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: Ghomala | Statement: [Ghomalaʼ, hasAlternativeName, Ghomala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghomala
Context triple: [Ghomalaʼ, hasAlternativeName, Ghomala]
  • A. Ghomalaʼ chosen
    Ghomalaʼ is a Bantu language spoken primarily by the Bamileke people in western Cameroon.
  • B. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • C. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • D. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • E. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e8fd030819095a4f3b3d425ec21 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108685f788190aa3f84e56837b195 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:05 p.m.