Triple

T16662152
Position Surface form Disambiguated ID Type / Status
Subject Trongsa District E404884 entity
Predicate hasImportantPass P11208 FINISHED
Object Pele La
Pele La is a high mountain pass in central Bhutan that serves as a key route connecting the country's western and central regions.
 E1225975 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: Pele La | Statement: [Trongsa District, hasImportantPass, Pele La]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pele La
Context triple: [Trongsa District, hasImportantPass, Pele La]
  • A. Pele
    Pele is the Hawaiian goddess of volcanoes and fire, revered as the powerful creator and destroyer of land in Hawaiian mythology.
  • B. Tostão
    Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
  • C. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • D. Luiz
    Luiz is a character in Gilbert and Sullivan's comic opera "The Gondoliers," serving as a romantic figure entangled in the opera's mistaken-identity and royal-intrigue plot.
  • E. Tarcisio
    Tarcisio is an Italian given name most notably borne by Cardinal Tarcisio Bertone, a prominent Vatican official and former Secretary of State of the Holy See.
  • 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: Pele La
Triple: [Trongsa District, hasImportantPass, Pele La]
Generated description
Pele La is a high mountain pass in central Bhutan that serves as a key route connecting the country's western and central regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pele La
Target entity description: Pele La is a high mountain pass in central Bhutan that serves as a key route connecting the country's western and central regions.
  • A. Pele
    Pele is the Hawaiian goddess of volcanoes and fire, revered as the powerful creator and destroyer of land in Hawaiian mythology.
  • B. Tostão
    Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
  • C. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • D. Luiz
    Luiz is a character in Gilbert and Sullivan's comic opera "The Gondoliers," serving as a romantic figure entangled in the opera's mistaken-identity and royal-intrigue plot.
  • E. Tarcisio
    Tarcisio is an Italian given name most notably borne by Cardinal Tarcisio Bertone, a prominent Vatican official and former Secretary of State of the Holy See.
  • 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.