Triple

T14035564
Position Surface form Disambiguated ID Type / Status
Subject Banditaccia Necropolis E337701 entity
Predicate associatedWith P37 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: [Banditaccia Necropolis, associatedWith, Caere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caere
Context triple: [Banditaccia Necropolis, associatedWith, 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. Crithoni
    Crithoni is an ancient coastal settlement located on Alinda Bay in the region of Caria, in what is now southwestern Turkey.
  • C. Caer
    Caer is an old Welsh-derived name historically used for the city now known as Chester in northwest England.
  • D. 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.
  • E. Rehling
    Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65a21088190a14808d09b2b9f42 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.