Triple

T818943
Position Surface form Disambiguated ID Type / Status
Subject Maule Region E17708 entity
Predicate hasTown P847 FINISHED
Object Molina
Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
 E103866 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: Molina | Statement: [Maule Region, hasTown, Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molina
Context triple: [Maule Region, hasTown, Molina]
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • C. Navarro
    Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
  • D. Perea
    Perea was a region east of the Jordan River in the early 1st century CE, forming part of Herod Antipas’s tetrarchy within the broader territory of Roman-era Judea.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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: Molina
Triple: [Maule Region, hasTown, Molina]
Generated description
Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molina
Target entity description: Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
  • A. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • B. Coloma
    Coloma is a historic town in Northern California best known as the site of the 1848 gold discovery that sparked the California Gold Rush.
  • C. Navarro
    Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
  • D. Perea
    Perea was a region east of the Jordan River in the early 1st century CE, forming part of Herod Antipas’s tetrarchy within the broader territory of Roman-era Judea.
  • E. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab656418819091ecb09e7ede2825 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84122cc81909b12b69e27d50008 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b946a4348190bfe86d5b93696383 completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9bb13f08190ad75518ba81b210d completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:38 p.m.