Triple

T6779074
Position Surface form Disambiguated ID Type / Status
Subject Parque Nacional Cumbres del Ajusco E155632 entity
Predicate nearbySettlement P350 FINISHED
Object Topilejo
Topilejo is a rural community in southern Mexico City known for its forests, agricultural traditions, and proximity to the mountainous Cumbres del Ajusco region.
 E618414 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: Topilejo | Statement: [Parque Nacional Cumbres del Ajusco, nearbySettlement, Topilejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Topilejo
Context triple: [Parque Nacional Cumbres del Ajusco, nearbySettlement, Topilejo]
  • A. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • B. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • E. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • 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: Topilejo
Triple: [Parque Nacional Cumbres del Ajusco, nearbySettlement, Topilejo]
Generated description
Topilejo is a rural community in southern Mexico City known for its forests, agricultural traditions, and proximity to the mountainous Cumbres del Ajusco region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Topilejo
Target entity description: Topilejo is a rural community in southern Mexico City known for its forests, agricultural traditions, and proximity to the mountainous Cumbres del Ajusco region.
  • A. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • B. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • C. Lopevi
    Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
  • D. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • E. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26a1634819099b8a3b3196a306a completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cf86e08190bd07c98f01ac5e19 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713c89a748190bd7bf280b82317f0 completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c71466728c81909a24174a7938b43a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:14 p.m.