Triple

T7002522
Position Surface form Disambiguated ID Type / Status
Subject Phra Phutthayotfa Chulalok E162370 entity
Predicate predecessor P97 FINISHED
Object Taksin
Taksin was an 18th-century Siamese king who reunified the country after the fall of Ayutthaya and established Thonburi as the capital.
 E634312 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: Taksin | Statement: [Phra Phutthayotfa Chulalok, predecessor, Taksin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taksin
Context triple: [Phra Phutthayotfa Chulalok, predecessor, Taksin]
  • A. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • B. Tiksi
    Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
  • C. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • D. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • E. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • 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: Taksin
Triple: [Phra Phutthayotfa Chulalok, predecessor, Taksin]
Generated description
Taksin was an 18th-century Siamese king who reunified the country after the fall of Ayutthaya and established Thonburi as the capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taksin
Target entity description: Taksin was an 18th-century Siamese king who reunified the country after the fall of Ayutthaya and established Thonburi as the capital.
  • A. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • B. Tiksi
    Tiksi is a remote Arctic settlement in northern Russia that serves as an important seaport and gateway on the Laptev Sea.
  • C. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • D. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • E. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc1115c48190a9363473ae21b6c1 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a368d0881908e15e473bcd6f572 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b1d881481908ef5a6614246ca1e completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76beb3de48190bcb07a7bb4282d69 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:33 p.m.