Triple

T10486557
Position Surface form Disambiguated ID Type / Status
Subject Alor Setar E247312 entity
Predicate nearbyCity 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: [Alor Setar, nearbyCity, Kangar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangar
Context triple: [Alor Setar, nearbyCity, 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. Kango
    Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
  • D. Rangloi
    Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • E. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096a4d3481908e9c319f6cdce4f1 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc8c73748190b97c78af6cf142d9 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.