Triple

T19337698
Position Surface form Disambiguated ID Type / Status
Subject Anazarbus E483663 entity
Predicate hasAncientName P20952 FINISHED
Object Anazarbus 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: Anazarbus | Statement: [Anazarbus, hasAncientName, Anazarbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anazarbus
Context triple: [Anazarbus, hasAncientName, Anazarbus]
  • A. Anazarbus chosen
    Anazarbus was an important ancient city in the region of Cilicia, in what is now southern Turkey, known for its strategic location and impressive fortifications.
  • B. Characene
    Characene was an ancient kingdom and important trading state located in the northern Persian Gulf region, centered around the city of Charax Spasinu.
  • C. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • D. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • E. Mursa
    Mursa was an important Roman city and military center located in the province of Pannonia, in the region of modern-day Osijek, Croatia.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.