Triple

T16305885
Position Surface form Disambiguated ID Type / Status
Subject Dangla E395908 entity
Predicate alternateName P39 FINISHED
Object Tanglha
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.
 E1205463 NE FINISHED

How this triple was built (4 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: [Dangla, alternateName, Tanglha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tanglha
Context triple: [Dangla, alternateName, Tanglha]
  • A. Tanai
    Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
  • B. 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.
  • C. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Tangtse
    Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tanglha
Triple: [Dangla, alternateName, Tanglha]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tanglha
Target entity description: 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.
  • A. Tanai
    Tanai is a town in northern Myanmar known for its location in Kachin State and its surrounding jade and amber mining areas.
  • B. 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.
  • C. Tewai
    Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Tangtse
    Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
  • F. None of above. chosen

Provenance (5 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_6a001fa3353c8190825b31854a97220c completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0020e282888190bb1d23b4876b4b75 completed May 10, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0021ba49808190bf69c22bc5c8d4da completed May 10, 2026, 6:12 a.m.
Created at: April 10, 2026, 5:06 a.m.