Triple

T699163
Position Surface form Disambiguated ID Type / Status
Subject Ictinus E13959 entity
Predicate citizenship P2 FINISHED
Object Athens E12615 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: Athens | Statement: [Ictinus, citizenship, Athens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens
Context triple: [Ictinus, citizenship, Athens]
  • A. Athens chosen
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • B. Piraeus
    Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
  • C. Olympia, Greece
    Olympia, Greece is an ancient sanctuary in the Peloponnese renowned as the original site of the Olympic Games in classical antiquity.
  • D. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • E. Patras
    Patras is a major Greek city in the northern Peloponnese, known as a key commercial and passenger port linking western Greece with the Ionian Islands and Italy.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0dd4afc81909e4e869356006f33 completed March 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc8ff78c8190954d33f9e4556cca completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.