Triple

T16662136
Position Surface form Disambiguated ID Type / Status
Subject Trongsa District E404884 entity
Predicate capital P234 FINISHED
Object Trongsa
Trongsa is a historic town in central Bhutan known for its strategic location and its prominent dzong overlooking the Mangde Chhu valley.
E1225972 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: Trongsa | Statement: [Trongsa District, capital, Trongsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trongsa
Context triple: [Trongsa District, capital, Trongsa]
  • A. Teangue
    Teangue is a small crofting settlement on the Sleat peninsula of the Isle of Skye in the Scottish Highlands.
  • B. SaiPa
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • C. Thavung
    Thavung is an ethnic minority group in Vietnam, culturally and linguistically distinct yet historically connected to the majority Kinh people.
  • D. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • E. Nok-iang
    Nok-iang was the mother of King Taksin, the famed 18th-century ruler who reunified Siam (Thailand) after the fall of Ayutthaya.
  • 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: Trongsa
Triple: [Trongsa District, capital, Trongsa]
Generated description
Trongsa is a historic town in central Bhutan known for its strategic location and its prominent dzong overlooking the Mangde Chhu valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trongsa
Target entity description: Trongsa is a historic town in central Bhutan known for its strategic location and its prominent dzong overlooking the Mangde Chhu valley.
  • A. Teangue
    Teangue is a small crofting settlement on the Sleat peninsula of the Isle of Skye in the Scottish Highlands.
  • B. SaiPa
    SaiPa is a Finnish professional ice hockey club based in Lappeenranta that competes in the country’s top-tier Liiga.
  • C. Thavung
    Thavung is an ethnic minority group in Vietnam, culturally and linguistically distinct yet historically connected to the majority Kinh people.
  • D. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • E. Nok-iang
    Nok-iang was the mother of King Taksin, the famed 18th-century ruler who reunified Siam (Thailand) after the fall of Ayutthaya.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c99efa8819096c6325ff4898bd7 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008585ba6c8190b5c870ebe1c93ffc completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:18 a.m.