Triple

T6339636
Position Surface form Disambiguated ID Type / Status
Subject Anzio Beachhead Cemetery E142590 entity
Predicate location P40 FINISHED
Object Nettuno, Italy E486266 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: Nettuno, Italy | Statement: [Anzio Beachhead Cemetery, location, Nettuno, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nettuno, Italy
Context triple: [Anzio Beachhead Cemetery, location, Nettuno, Italy]
  • A. Nettuno, Italy chosen
    Nettuno, Italy is a coastal town in the Lazio region known for its historic center, seaside tourism, and significant World War II heritage.
  • B. Capistrano, Italy
    Capistrano, Italy is a small town in the Calabria region known for its religious heritage and association with its patron, Saint John of Capistrano.
  • C. Tivoli, Italy
    Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
  • D. Arese, Italy
    Arese, Italy is a town in the Lombardy region best known for its historic Alfa Romeo automobile manufacturing plant and automotive heritage.
  • E. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654fb774819087bffb8b966a790a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604352f148190b5accc28462256ad completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.