Triple

T15058385
Position Surface form Disambiguated ID Type / Status
Subject Gampaha District E379556 entity
Predicate contains P35 FINISHED
Object Wattala E549037 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: Wattala | Statement: [Gampaha District, contains, Wattala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wattala
Context triple: [Gampaha District, contains, Wattala]
  • A. Wattala chosen
    Wattala is a densely populated suburban town in Sri Lanka’s Western Province, located just north of Colombo and known as a residential and commercial hub along the main road to Negombo.
  • B. Wadala
    Wadala is a neighborhood in central Mumbai, India, known as a major residential and transport hub.
  • C. Waghala
    Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
  • D. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • E. Walatowa
    Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c2fcec8190800d1bda82c7352e completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.