Triple

T3846393
Position Surface form Disambiguated ID Type / Status
Subject Cerveteri E93579 entity
Predicate historicalName P65 FINISHED
Object Caere E151475 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: Caere | Statement: [Cerveteri, historicalName, Caere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caere
Context triple: [Cerveteri, historicalName, Caere]
  • A. Caere chosen
    Caere was a major ancient Etruscan city-state in central Italy, noted for its wealth, maritime trade, and close cultural contacts with the Greek and Phoenician worlds.
  • B. Carentan
    Carentan is a small town in Normandy, France, known for its strategic role in the D-Day landings and subsequent World War II battles.
  • C. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • D. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • E. Terrigal
    Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb77a488190be7fc2a1211f1f2d completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50414acdc81909bf0b62afa3fe536 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.