Triple

T9032262
Position Surface form Disambiguated ID Type / Status
Subject Wokha E216399 entity
Predicate languageSpoken P151 FINISHED
Object Lotha language E644029 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: Lotha language | Statement: [Wokha, languageSpoken, Lotha language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotha language
Context triple: [Wokha, languageSpoken, Lotha language]
  • A. Lotha language chosen
    Lotha language is a Sino-Tibetan language spoken primarily by the Lotha Naga people in the Indian state of Nagaland.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lasgerdi language
    The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
  • D. Khortha language
    Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
  • E. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:08 p.m.