Triple

T4757405
Position Surface form Disambiguated ID Type / Status
Subject Telegony E105621 entity
Predicate associatedWith P37 FINISHED
Object Cyrene E8211 NE FINISHED

How this triple was built (2 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: Cyrene | Statement: [Telegony, associatedWith, Cyrene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyrene
Context triple: [Telegony, associatedWith, Cyrene]
  • A. Cyrene chosen
    Cyrene is an ancient Greek and Roman city in eastern Libya renowned for its well-preserved ruins and historical significance as a major center of classical civilization.
  • B. Ptolemais
    Ptolemais is the historical name of the ancient Mediterranean port city now known as Acre in modern-day Israel.
  • C. Ptolemais
    Ptolemais is an ancient Greek and later Roman city on the coast of modern Libya, notable for its well-preserved ruins and role as a major urban center in the Cyrenaica region.
  • D. Lycopolis
    Lycopolis was an ancient Egyptian city, located in Upper Egypt, known as the birthplace of the Neoplatonist philosopher Plotinus.
  • E. Muscat d’Alexandrie
    Muscat d’Alexandrie is an aromatic white grape variety known for producing intensely floral, muscat-scented wines and sweet dessert styles in warm Mediterranean regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a72ba908190ad9b423aea2a22b8 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.