Triple

T16595610
Position Surface form Disambiguated ID Type / Status
Subject Perrhaebia E403196 entity
Predicate hasCity P316 FINISHED
Object Elone
Elone was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
 E1222840 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: Elone | Statement: [Perrhaebia, hasCity, Elone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elone
Context triple: [Perrhaebia, hasCity, Elone]
  • A. نول
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • B. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • C. Niulakita
    Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
  • D. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • E. Naro
    Naro are an indigenous Khoisan-speaking people of southern Africa, known for their click-rich Naro language and traditional hunter-gatherer heritage.
  • 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: Elone
Triple: [Perrhaebia, hasCity, Elone]
Generated description
Elone was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elone
Target entity description: Elone was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
  • A. نول
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • B. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • C. Niulakita
    Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
  • D. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • E. Naro
    Naro are an indigenous Khoisan-speaking people of southern Africa, known for their click-rich Naro language and traditional hunter-gatherer heritage.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d717604819083ed60b865bbd13e completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007825547c81909230ac39761fba96 completed May 10, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00788e103481908d40bbe4a3cb1695 completed May 10, 2026, 12:22 p.m.
Created at: April 10, 2026, 5:16 a.m.