Triple

T3731792
Position Surface form Disambiguated ID Type / Status
Subject Tibetan script E79081 entity
Predicate usedFor P98 FINISHED
Object Ladakhi language E109616 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: Ladakhi language | Statement: [Tibetan script, usedFor, Ladakhi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladakhi language
Context triple: [Tibetan script, usedFor, Ladakhi language]
  • A. Tibetan chosen
    Tibetan is a Sino-Tibetan language spoken primarily in Tibet and surrounding Himalayan regions, serving as the liturgical language of Tibetan Buddhism and a key marker of Tibetan cultural identity.
  • B. Garhwali
    Garhwali is an Indo-Aryan language spoken primarily in the Garhwal region of the Indian state of Uttarakhand.
  • C. Lepcha language
    The Lepcha language is an indigenous Sino-Tibetan language spoken primarily by the Lepcha people in parts of Sikkim and neighboring regions of India, Bhutan, and Nepal, known for its unique script and rich oral tradition.
  • D. Gyel dialect
    The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • E. Kashmiri language
    Kashmiri language is an Indo-Aryan language spoken primarily in the Kashmir Valley, written in multiple scripts including a Perso-Arabic–based Nastaʿlīq script.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb21002c81908438170ed6f6c271 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db192db88190b13e605867a70caf completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.