Triple

T4735187
Position Surface form Disambiguated ID Type / Status
Subject Ajusco E105106 entity
Predicate locatedIn P40 FINISHED
Object Tlalpan E16490 NE FINISHED

How this triple was built (2 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: Tlalpan | Statement: [Ajusco, locatedIn, Tlalpan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tlalpan
Context triple: [Ajusco, locatedIn, Tlalpan]
  • A. Tlalpan chosen
    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.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Xochimilco
    Xochimilco is a southern borough of Mexico City famous for its historic canals, colorful trajinera boats, and UNESCO-listed chinampa (floating garden) agricultural system.
  • D. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd648148b48190ae30631115339ba1 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c8a20a88190a668251abbc1c7c8 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:19 p.m.