Triple

T16305890
Position Surface form Disambiguated ID Type / Status
Subject Tanggula Mountains E395908 entity
Predicate TibetanName P744 FINISHED
Object Tanglha E1205463 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: Tanglha | Statement: [Tanggula Mountains, TibetanName, Tanglha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanglha
Context triple: [Tanggula Mountains, TibetanName, Tanglha]
  • A. Tanglha chosen
    Tanglha is a mountain range in the central Tibetan Plateau known for its high peaks and role as a watershed between major Asian river systems.
  • B. Tanai
    Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
  • C. Talanga
    Talanga is a town and municipality in central Honduras known for its agricultural activities and location along the highway connecting Tegucigalpa with the country's northern regions.
  • D. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • E. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da444408190b770055d84060f4d completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.