Triple

T3274953
Position Surface form Disambiguated ID Type / Status
Subject Province of Rieti E68735 entity
Predicate contains P35 FINISHED
Object Micigliano
Micigliano is a small municipality in the Lazio region of central Italy, known for its mountainous landscape within the Apennines.
 E368553 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: Micigliano | Statement: [Province of Rieti, contains, Micigliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Micigliano
Context triple: [Province of Rieti, contains, Micigliano]
  • A. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • B. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Fiamignano
    Fiamignano is a small Italian municipality in the Lazio region, known for its mountainous landscape and traditional rural character.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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: Micigliano
Triple: [Province of Rieti, contains, Micigliano]
Generated description
Micigliano is a small municipality in the Lazio region of central Italy, known for its mountainous landscape within the Apennines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Micigliano
Target entity description: Micigliano is a small municipality in the Lazio region of central Italy, known for its mountainous landscape within the Apennines.
  • A. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • B. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Fiamignano chosen
    Fiamignano is a small Italian municipality in the Lazio region, known for its mountainous landscape and traditional rural character.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • F. None of above.

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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ed5f23c8190bfd1fb6370aad390 completed March 13, 2026, 5:52 p.m.
NEDg Description generation batch_69b451c988f081909adfe88a9e027eb9 completed March 13, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69b45a7d1bcc8190b2c69a0fffa94cd5 completed March 13, 2026, 6:42 p.m.
Created at: March 8, 2026, 3:10 p.m.