Triple

T13307632
Position Surface form Disambiguated ID Type / Status
Subject Ida E316976 entity
Predicate hasSiblings P363 FINISHED
Object Pangaion
Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
 E1032116 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: Pangaion | Statement: [Ida, hasSiblings, Pangaion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pangaion
Context triple: [Ida, hasSiblings, Pangaion]
  • A. Oronte
    Oronte is a vain and pretentious courtier in Molière’s comedy *Le Misanthrope*, often mocked for his mediocre poetry and sensitivity to criticism.
  • B. Ocyrhoe
    Ocyrhoe is a figure in Greek mythology, known as the prophetic daughter of the wise centaur Chiron who was transformed into a mare.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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: Pangaion
Triple: [Ida, hasSiblings, Pangaion]
Generated description
Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pangaion
Target entity description: Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
  • A. Oronte
    Oronte is a vain and pretentious courtier in Molière’s comedy *Le Misanthrope*, often mocked for his mediocre poetry and sensitivity to criticism.
  • B. Ocyrhoe
    Ocyrhoe is a figure in Greek mythology, known as the prophetic daughter of the wise centaur Chiron who was transformed into a mare.
  • C. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • D. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • E. Moura
    Moura is a Portuguese-language surname commonly found in Brazil and other Lusophone countries, associated with various notable figures in arts, sports, and public life.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:29 p.m.