Triple

T14176223
Position Surface form Disambiguated ID Type / Status
Subject Sirente-Velino Regional Park E351338 entity
Predicate contains P35 FINISHED
Object Tagliacozzo
Tagliacozzo is a historic town in the Abruzzo region of central Italy, known for its medieval architecture and scenic setting in the Apennine Mountains.
E1084495 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: Tagliacozzo | Statement: [Sirente-Velino Regional Park, contains, Tagliacozzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagliacozzo
Context triple: [Sirente-Velino Regional Park, contains, Tagliacozzo]
  • A. Count of Tagliacozzo
    Count of Tagliacozzo is an Italian noble title historically associated with the influential Colonna family.
  • B. Abbateggio
    Abbateggio is a small Italian village in the Abruzzo region, known for its traditional stone architecture and scenic location near the Maiella National Park.
  • C. Roccasecca
    Roccasecca is a small Italian town in the Lazio region, best known as the birthplace of the medieval philosopher and theologian St. Thomas Aquinas.
  • D. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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: Tagliacozzo
Triple: [Sirente-Velino Regional Park, contains, Tagliacozzo]
Generated description
Tagliacozzo is a historic town in the Abruzzo region of central Italy, known for its medieval architecture and scenic setting in the Apennine Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tagliacozzo
Target entity description: Tagliacozzo is a historic town in the Abruzzo region of central Italy, known for its medieval architecture and scenic setting in the Apennine Mountains.
  • A. Count of Tagliacozzo
    Count of Tagliacozzo is an Italian noble title historically associated with the influential Colonna family.
  • B. Abbateggio
    Abbateggio is a small Italian village in the Abruzzo region, known for its traditional stone architecture and scenic location near the Maiella National Park.
  • C. Roccasecca
    Roccasecca is a small Italian town in the Lazio region, best known as the birthplace of the medieval philosopher and theologian St. Thomas Aquinas.
  • D. Mulazzano
    Mulazzano is a small municipality in the Lombardy region of northern Italy, situated within commuting distance of Milan.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c76e8081909994b95b631100e9 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80cdae88190ae987b49218c281d completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 1:02 a.m.