Triple

T19437735
Position Surface form Disambiguated ID Type / Status
Subject Nettuno E486266 entity
Predicate near P350 FINISHED
Object Anzio 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: Anzio | Statement: [Nettuno, near, Anzio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anzio
Context triple: [Nettuno, near, Anzio]
  • A. Anzio chosen
    Anzio is a coastal town in the Lazio region of central Italy, historically significant as a major World War II Allied landing site and now known as a seaside resort and fishing port.
  • B. Cassino
    Cassino is a locality within the Italian municipality of Cannobio, situated in the Piedmont region near Lake Maggiore.
  • C. Cassino
    Cassino is a town in central Italy known for its strategic location and the nearby Monte Cassino, site of a historic Benedictine abbey and major World War II battles.
  • D. Antibari
    Antibari is an alternative name for the coastal town of Bar in Montenegro, historically known as Antivari.
  • E. Rocca a Mare
    Rocca a Mare is a Venetian-era coastal fortress in Heraklion, Crete, that historically guarded the city’s harbor and served as a key defensive stronghold in the eastern Mediterranean.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336281b88190b1e5ad2606d7c314 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.