Triple

T18492279
Position Surface form Disambiguated ID Type / Status
Subject Epidamnos E451846 entity
Predicate laterKnownAs P65 FINISHED
Object Dyrrhachion NE NERFINISHED

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: Dyrrhachion | Statement: [Epidamnos, laterKnownAs, Dyrrhachion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyrrhachion
Context triple: [Epidamnos, laterKnownAs, Dyrrhachion]
  • A. Dyrrhachium chosen
    Dyrrhachium was an important ancient Greek and later Roman port city on the Adriatic coast, in the area of modern-day Durrës, Albania.
  • B. Epidamnos
    Epidamnos was an ancient Greek colony on the Adriatic coast, located where the modern Albanian city of Durrës now stands.
  • C. Omonoia
    Omonoia is a central and historically significant square and transport hub in Athens, Greece, known for its busy urban atmosphere and commercial activity.
  • D. Daulida
    Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
  • E. Ambracia
    Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532be5e988190aae93a66f6e5f857 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.