Triple

T11965629
Position Surface form Disambiguated ID Type / Status
Subject Lavrio E284783 entity
Predicate formerName P65 FINISHED
Object Laurium E56950 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: Laurium | Statement: [Lavrio, formerName, Laurium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurium
Context triple: [Lavrio, formerName, Laurium]
  • A. Laurium chosen
    Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
  • B. Agyrium
    Agyrium was an ancient city in central Sicily, historically significant as the birthplace of the Greek historian Diodorus Siculus.
  • C. الحديدة
    الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
  • D. Samnium
    Samnium was an ancient region of south-central Italy inhabited by the Samnites, an Oscan-speaking Italic people known for their wars with the Roman Republic.
  • E. Ellnora
    Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.