Triple

T6345683
Position Surface form Disambiguated ID Type / Status
Subject Tlatoani of Tlatelolco E142737 entity
Predicate positionHeldBy P8 FINISHED
Object Moquihuix
Moquihuix was a pre-Columbian Nahua ruler best known as the last tlatoani of the Aztec city-state of Tlatelolco, whose defeat marked the city's subjugation by Tenochtitlan.
 E586276 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: Moquihuix | Statement: [Tlatoani of Tlatelolco, positionHeldBy, Moquihuix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moquihuix
Context triple: [Tlatoani of Tlatelolco, positionHeldBy, Moquihuix]
  • A. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • B. Tocopilla
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • C. Moxeño
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
  • D. Tejipió
    Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
  • E. Zapota
    Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
  • 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: Moquihuix
Triple: [Tlatoani of Tlatelolco, positionHeldBy, Moquihuix]
Generated description
Moquihuix was a pre-Columbian Nahua ruler best known as the last tlatoani of the Aztec city-state of Tlatelolco, whose defeat marked the city's subjugation by Tenochtitlan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moquihuix
Target entity description: Moquihuix was a pre-Columbian Nahua ruler best known as the last tlatoani of the Aztec city-state of Tlatelolco, whose defeat marked the city's subjugation by Tenochtitlan.
  • A. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • B. Tocopilla
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • C. Moxeño
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
  • D. Tejipió
    Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
  • E. Zapota
    Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b7e0d08190abacaf41c08ed15e completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604454fd48190972476a0929dfb9d completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6059ad89881909599c61f293791cc completed March 27, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6065044908190b2ba71490a3bae54 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:31 p.m.