Triple

T6380248
Position Surface form Disambiguated ID Type / Status
Subject Autlán de Navarro E143561 entity
Predicate hasDemonym P191 FINISHED
Object Autlense
An Autlense is a resident or native of Autlán de Navarro, a municipality in the state of Jalisco, Mexico.
 E589421 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: Autlense | Statement: [Autlán de Navarro, hasDemonym, Autlense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autlense
Context triple: [Autlán de Navarro, hasDemonym, Autlense]
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Altaelva
    Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
  • C. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • D. Oneroa
    Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
  • E. Talfer
    The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
  • 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: Autlense
Triple: [Autlán de Navarro, hasDemonym, Autlense]
Generated description
An Autlense is a resident or native of Autlán de Navarro, a municipality in the state of Jalisco, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Autlense
Target entity description: An Autlense is a resident or native of Autlán de Navarro, a municipality in the state of Jalisco, Mexico.
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Altaelva
    Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
  • C. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • D. Oneroa
    Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
  • E. Talfer
    The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685265208190b2204bd4abff2668 completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c63321ec688190ae527f6ae9be5791 completed March 27, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_69c633e823548190950cc50e360e4ef6 completed March 27, 2026, 7:38 a.m.
Created at: March 22, 2026, 4:33 p.m.