Triple

T1474409
Position Surface form Disambiguated ID Type / Status
Subject Jalisco E30805 entity
Predicate containsCity P294 FINISHED
Object Chapala
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
E170119 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: Chapala | Statement: [Jalisco, containsCity, Chapala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapala
Context triple: [Jalisco, containsCity, Chapala]
  • A. Lagos de Moreno
    Lagos de Moreno is a historic colonial city in central-western Mexico known for its well-preserved architecture and cultural heritage.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Escuinapa
    Escuinapa is a coastal municipality and town in southern Sinaloa, Mexico, known for its fishing, agriculture, and shrimp farming.
  • D. Amatlán de Cañas
    Amatlán de Cañas is a small municipality and town in the southern part of the Mexican state of Nayarit, known for its mountainous terrain, hot springs, and traditional rural character.
  • E. Tlalpan
    Tlalpan is one of the largest and southernmost boroughs of Mexico City, known for its extensive green areas, historic center, and mix of urban and rural zones.
  • 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: Chapala
Triple: [Jalisco, containsCity, Chapala]
Generated description
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chapala
Target entity description: Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
  • A. Lagos de Moreno
    Lagos de Moreno is a historic colonial city in central-western Mexico known for its well-preserved architecture and cultural heritage.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Escuinapa
    Escuinapa is a coastal municipality and town in southern Sinaloa, Mexico, known for its fishing, agriculture, and shrimp farming.
  • D. Amatlán de Cañas
    Amatlán de Cañas is a small municipality and town in the southern part of the Mexican state of Nayarit, known for its mountainous terrain, hot springs, and traditional rural character.
  • E. Tlalpan
    Tlalpan is one of the largest and southernmost boroughs of Mexico City, known for its extensive green areas, historic center, and mix of urban and rural zones.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9fb9e48190b904440cb7229c8f completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1d7451248190b110814a30270b22 completed March 8, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad1dccba7081908f24eef1b9ad5f09 completed March 8, 2026, 6:57 a.m.
Created at: March 1, 2026, 8:11 p.m.