Triple

T9179331
Position Surface form Disambiguated ID Type / Status
Subject Arau E220279 entity
Predicate hasNearbyCity P350 FINISHED
Object Kangar E220278 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: Kangar | Statement: [Arau, hasNearbyCity, Kangar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangar
Context triple: [Arau, hasNearbyCity, Kangar]
  • A. Kangar chosen
    Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
  • B. Kangha
    Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
  • C. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • D. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • 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.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07771873c8190a9e2ebf2c83775be completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:23 p.m.