Triple

T12638310
Position Surface form Disambiguated ID Type / Status
Subject Chachoengsao E301822 entity
Predicate bordersProvince P224 FINISHED
Object Samut Prakan 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 | Statement: [Chachoengsao, bordersProvince, Samut Prakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samut Prakan
Context triple: [Chachoengsao, bordersProvince, Samut Prakan]
  • 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. Ratchaburi
    Ratchaburi is a historic city in western Thailand known for its cultural heritage, traditional pottery, and proximity to famous floating markets.
  • C. 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.
  • D. Chachoengsao
    Chachoengsao is a province in eastern Thailand known for its historic temples, agricultural landscape, and proximity to Bangkok and major transport hubs.
  • E. Bangkok Province
    Bangkok Province is Thailand’s capital and most populous urban province, serving as the country’s political, economic, and cultural center.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c0510081909459662cb91a82b4 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:16 p.m.