Triple

T2491116
Position Surface form Disambiguated ID Type / Status
Subject Benito Juárez borough E52043 entity
Predicate hasPart P35 FINISHED
Object Narvarte
Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
 E272382 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: Narvarte | Statement: [Benito Juárez borough, hasPart, Narvarte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Narvarte
Context triple: [Benito Juárez borough, hasPart, Narvarte]
  • A. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • 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: Narvarte
Triple: [Benito Juárez borough, hasPart, Narvarte]
Generated description
Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Narvarte
Target entity description: Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
  • A. Navolato
    Navolato is a coastal agricultural city and municipality in the Mexican state of Sinaloa, known especially for its sugarcane production.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • D. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • E. Nobsa
    Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd18fe32081909580c6272a6013c5 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9111ec8190b464da14bc4be11e completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af209cb5dc8190b0a9870462205cd2 completed March 9, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_69af2119cf10819083e0c66ae63eed2c completed March 9, 2026, 7:35 p.m.
Created at: March 6, 2026, 9:45 p.m.