Triple

T32503227
Position Surface form Disambiguated ID Type / Status
Subject Ko Sichang E830717 entity
Predicate localNameInThai P63622 FINISHED
Object เกาะสีชัง
เกาะสีชัง is a small island district in Chonburi Province, Thailand, known for its tranquil beaches, historic royal sites, and relaxed local atmosphere.
E2009378 NE FINISHED

How this triple was built (3 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: เกาะสีชัง | Statement: [Ko Sichang, localNameInThai, เกาะสีชัง]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: เกาะสีชัง
Triple: [Ko Sichang, localNameInThai, เกาะสีชัง]
Generated description
เกาะสีชัง is a small island district in Chonburi Province, Thailand, known for its tranquil beaches, historic royal sites, and relaxed local atmosphere.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localNameInThai
Context triple: [Ko Sichang, localNameInThai, เกาะสีชัง]
  • A. shortNameInThai
    Indicates that an entity has a short or abbreviated name expressed in the Thai language.
  • B. hasNameInLao
    Indicates that an entity has a specific name expressed in the Lao language.
  • C. knownAsInThai chosen
    Indicates that an entity is referred to by a specific name or term in the Thai language.
  • D. thaiNameMeaning
    Indicates that one entity is the meaning or semantic interpretation of a given Thai name.
  • E. hasNameInBurmese
    Indicates that an entity is associated with a specific name expressed in the Burmese language.
  • F. None of above.

Provenance (6 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_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34705a55008190b5cf60cab8aa145b completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3471350ec08190ae5394b2a8028840 completed June 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a3471d84d708190bd56542c6f09ba30 completed June 18, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 12:59 a.m.