Triple

T7720125
Position Surface form Disambiguated ID Type / Status
Subject Satun province E174986 entity
Predicate capital P234 FINISHED
Object Satun
Satun is a small coastal town in southern Thailand known as a gateway to the Andaman Sea and nearby islands such as Koh Lipe.
 E684603 NE FINISHED

How this triple was built (4 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: Satun | Statement: [Satun province, capital, Satun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satun
Context triple: [Satun province, capital, Satun]
  • A. Sayun
    Sayun is a historic oasis city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and the prominent Sultan’s Palace.
  • B. Sorau
    Sorau is a historic town in present-day Żary, western Poland, that was formerly part of Prussia and is known for its shifting political affiliations in Central European history.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Dasuya
    Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Satun
Triple: [Satun province, capital, Satun]
Generated description
Satun is a small coastal town in southern Thailand known as a gateway to the Andaman Sea and nearby islands such as Koh Lipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satun
Target entity description: Satun is a small coastal town in southern Thailand known as a gateway to the Andaman Sea and nearby islands such as Koh Lipe.
  • A. Sayun
    Sayun is a historic oasis city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and the prominent Sultan’s Palace.
  • B. Sorau
    Sorau is a historic town in present-day Żary, western Poland, that was formerly part of Prussia and is known for its shifting political affiliations in Central European history.
  • C. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • D. Dasuya
    Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • F. None of above. chosen

Provenance (5 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702eedc088190be645c029dfc462a completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b513f7d481908d2ce64d9685289c completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b6f7148081908f699bd5600b6c57 completed March 29, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7590ac08190ae43036828235ca7 completed March 29, 2026, 5:23 a.m.
Created at: March 27, 2026, 4:05 p.m.