Triple

T1448446
Position Surface form Disambiguated ID Type / Status
Subject Delft E31228 entity
Predicate hasTwinTown P919 FINISHED
Object Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
 E165190 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: Esteli | Statement: [Delft, hasTwinTown, Esteli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esteli
Context triple: [Delft, hasTwinTown, Esteli]
  • A. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • B. Pina
    Pina is a coastal neighborhood and beach area in the city of Recife, Brazil, known for its urban shoreline and proximity to the city’s commercial districts.
  • C. Calera de Tango
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • D. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • E. Doña Sol
    Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
  • 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: Esteli
Triple: [Delft, hasTwinTown, Esteli]
Generated description
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esteli
Target entity description: Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
  • A. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • B. Pina
    Pina is a coastal neighborhood and beach area in the city of Recife, Brazil, known for its urban shoreline and proximity to the city’s commercial districts.
  • C. Calera de Tango
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • D. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • E. Doña Sol
    Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55c408c8190917ed44d9070a2fb completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c229808190af9936b481390170 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad098f9fd0819094d9478881ca1a46 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a6c7aa08190b21b00c03f04af27 completed March 8, 2026, 5:34 a.m.
Created at: March 1, 2026, 8 p.m.