Triple

T2353594
Position Surface form Disambiguated ID Type / Status
Subject Pichincha Province E47502 entity
Predicate hasMajorCity P316 FINISHED
Object Sangolquí
Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
 E260235 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: Sangolquí | Statement: [Pichincha Province, hasMajorCity, Sangolquí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sangolquí
Context triple: [Pichincha Province, hasMajorCity, Sangolquí]
  • A. Monguí
    Monguí is a historic colonial town in central Colombia renowned for its well-preserved architecture and traditional leather and soccer ball craftsmanship.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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: Sangolquí
Triple: [Pichincha Province, hasMajorCity, Sangolquí]
Generated description
Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sangolquí
Target entity description: Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • A. Monguí
    Monguí is a historic colonial town in central Colombia renowned for its well-preserved architecture and traditional leather and soccer ball craftsmanship.
  • B. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • E. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fa6ecc8190821c9d5db341cf19 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea888b5a881909b1f91562957388d completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea9e4fd748190870fca46e6d2ea78 completed March 9, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69aeaa3f5afc8190af11862c52f35074 completed March 9, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:54 p.m.