Triple

T11164579
Position Surface form Disambiguated ID Type / Status
Subject Central Thailand E264127 entity
Predicate contains P35 FINISHED
Object Samut Prakan city E271283 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: Samut Prakan city | Statement: [Central Thailand, contains, Samut Prakan city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samut Prakan city
Context triple: [Central Thailand, contains, Samut Prakan city]
  • A. Samut Prakan Province chosen
    Samut Prakan Province is a coastal province in central Thailand, just south of Bangkok, known for its industrial zones, seaside communities, and cultural attractions such as the Ancient City and Erawan Museum.
  • B. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • C. Ratchaburi
    Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
  • D. Bangkok Province
    Bangkok Province is Thailand’s capital and most populous urban province, serving as the country’s political, economic, and cultural center.
  • E. Suphan Buri
    Suphan Buri is a province in central Thailand known for its rich history, traditional culture, and agricultural landscapes.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e887293081909830852000d533fa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5427918f08190ac1fdf3e0aff036f completed April 19, 2026, 9 p.m.
Created at: April 8, 2026, 9:29 p.m.