Triple

T2769724
Position Surface form Disambiguated ID Type / Status
Subject Enna E61423 entity
Predicate demographicsLabel P2263 FINISHED
Object Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
 E297903 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: Ennesi | Statement: [Enna, demographicsLabel, Ennesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ennesi
Context triple: [Enna, demographicsLabel, Ennesi]
  • A. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • B. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • C. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • D. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • E. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • 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: Ennesi
Triple: [Enna, demographicsLabel, Ennesi]
Generated description
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ennesi
Target entity description: Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
  • A. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • B. Enide
    Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
  • C. Alaior
    Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
  • D. Olzino
    Olzino is a locality or subdivision within the municipality of Cernobbio in the Lombardy region of northern Italy.
  • E. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc11fa5ec8190a0b495f6b71591ab completed March 10, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69afc1f734dc8190a4861b05583f7018 completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.