Triple

T19896955
Position Surface form Disambiguated ID Type / Status
Subject Lidder Valley E478175 entity
Predicate contains P35 FINISHED
Object Aru NE NERFINISHED

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: Aru | Statement: [Lidder Valley, contains, Aru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aru
Context triple: [Lidder Valley, contains, Aru]
  • A. Aru
    Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
  • B. Aru
    Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
  • C. Aru chosen
    Aru is a scenic village and popular tourist destination in Jammu and Kashmir’s Anantnag district, known for its alpine meadows, trekking routes, and proximity to the Lidder River and Kolahoi Glacier.
  • D. Aruimi
    Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
  • E. Arua
    Arua is a major town in northwestern Uganda that serves as an important commercial and transport hub near the borders with the Democratic Republic of the Congo and South Sudan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593dba78819082c8b80e65246171 completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.