Triple

T4743834
Position Surface form Disambiguated ID Type / Status
Subject Cardenal Caro Province E105312 entity
Predicate contains P35 FINISHED
Object Litueche
Litueche is a rural commune and town in central Chile known for its agricultural activities and location near the Pacific coast in the O'Higgins Region.
 E467236 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: Litueche | Statement: [Cardenal Caro Province, contains, Litueche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Litueche
Context triple: [Cardenal Caro Province, contains, Litueche]
  • A. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • D. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • E. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • 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: Litueche
Triple: [Cardenal Caro Province, contains, Litueche]
Generated description
Litueche is a rural commune and town in central Chile known for its agricultural activities and location near the Pacific coast in the O'Higgins Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Litueche
Target entity description: Litueche is a rural commune and town in central Chile known for its agricultural activities and location near the Pacific coast in the O'Higgins Region.
  • A. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • D. Licab
    Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
  • E. Liotta
    Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a309a408190836c51d0fe85c5d8 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3d30efb4819088121ce087344da3 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d99a288819088e42e04de5c17a4 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:19 p.m.