Triple

T16442633
Position Surface form Disambiguated ID Type / Status
Subject Angaraes Province E399341 entity
Predicate capital P234 FINISHED
Object Lircay
Lircay is a small Andean town in central Peru known as an administrative and commercial hub for the surrounding rural region.
 E1212939 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: Lircay | Statement: [Angaraes Province, capital, Lircay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lircay
Context triple: [Angaraes Province, capital, Lircay]
  • A. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • B. Raiyoli
    Raiyoli is a village in Gujarat, India, known for its proximity to the dinosaur fossil beds near Balasinor.
  • C. Jiloca
    Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
  • D. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • E. Carigara
    Carigara is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known as one of the oldest settlements in the area.
  • 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: Lircay
Triple: [Angaraes Province, capital, Lircay]
Generated description
Lircay is a small Andean town in central Peru known as an administrative and commercial hub for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lircay
Target entity description: Lircay is a small Andean town in central Peru known as an administrative and commercial hub for the surrounding rural region.
  • A. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • B. Raiyoli
    Raiyoli is a village in Gujarat, India, known for its proximity to the dinosaur fossil beds near Balasinor.
  • C. Jiloca
    Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
  • D. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • E. Carigara
    Carigara is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known as one of the oldest settlements in the area.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.