Triple

T15027556
Position Surface form Disambiguated ID Type / Status
Subject Sant’Anna di Stazzema massacre E378256 entity
Predicate location P40 FINISHED
Object Stazzema E781597 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: Stazzema | Statement: [Sant’Anna di Stazzema massacre, location, Stazzema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stazzema
Context triple: [Sant’Anna di Stazzema massacre, location, Stazzema]
  • A. Stazzema chosen
    Stazzema is a small Tuscan municipality in central Italy, known for its mountainous landscape in the Apuan Alps and its tragic World War II history.
  • B. Batenburg
    Batenburg is a small historic town in the Dutch province of Gelderland, known for its medieval castle ruins and picturesque setting along the river Maas.
  • C. Bultei
    Bultei is a small municipality in the Logudoro region of central Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • D. Ostabat
    Ostabat is a village in southwestern France known as a historic convergence point for several major pilgrimage routes to Santiago de Compostela.
  • E. Stutterheim
    Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.