Triple

T13081249
Position Surface form Disambiguated ID Type / Status
Subject Ping River E310210 entity
Predicate mouthLocation P417 FINISHED
Object Nakhon Sawan city E909666 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: Nakhon Sawan city | Statement: [Ping River, mouthLocation, Nakhon Sawan city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakhon Sawan city
Context triple: [Ping River, mouthLocation, Nakhon Sawan city]
  • A. Nakhon Sawan chosen
    Nakhon Sawan is a major city in central Thailand known as a key transportation hub and gateway between the country’s northern and central regions.
  • B. Nakhon Nayok
    Nakhon Nayok is a small central Thai province known for its waterfalls, national parks, and proximity to Bangkok as a popular nature getaway.
  • C. Udon Thani
    Udon Thani is a major city in northeastern Thailand known as a regional commercial and transportation hub near the Lao border.
  • D. Nakhon Sawan Province
    Nakhon Sawan Province is a central Thai province known as a key regional hub where major rivers converge and agriculture and trade are prominent.
  • E. Nakhon Si Thammarat
    Nakhon Si Thammarat is a historic coastal city in southern Thailand known for its ancient temples, particularly Wat Phra Mahathat, and its role as a regional cultural and economic 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387a261c8190a9ac11d6e4e7b29c completed May 8, 2026, 7:24 p.m.
Created at: April 9, 2026, 9:01 p.m.