Triple

T7443547
Position Surface form Disambiguated ID Type / Status
Subject Hitler Line E171812 entity
Predicate near P350 FINISHED
Object Cassino E161926 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: Cassino | Statement: [Hitler Line, near, Cassino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassino
Context triple: [Hitler Line, near, Cassino]
  • A. Cassino chosen
    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.
  • B. Castel di Sangro
    Castel di Sangro is a historic town in Italy’s Abruzzo region, known for its scenic Apennine mountain setting and as the subject of the football book "The Miracle of Castel di Sangro."
  • C. Acerra
    Acerra is a historic town and municipality in Italy’s Campania region, situated inland from Naples and known for its ancient origins and industrial-residential character.
  • D. Scandiano
    Scandiano is a town in the Emilia-Romagna region of northern Italy, known as the birthplace of prominent Italian politician Romano Prodi.
  • E. Scanno
    Scanno is a picturesque medieval village in Italy’s Abruzzo region, renowned for its mountain lake, traditional architecture, and historic goldsmithing and lace-making crafts.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36e9a588190b54b8bae181fc971 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827a1bdf48190a0bf217044fb05f8 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.