Triple

T16232361
Position Surface form Disambiguated ID Type / Status
Subject Cerveteri-Ladispoli railway station E394014 entity
Predicate serves P98 FINISHED
Object Cerveteri E93579 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: Cerveteri | Statement: [Cerveteri-Ladispoli railway station, serves, Cerveteri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerveteri
Context triple: [Cerveteri-Ladispoli railway station, serves, Cerveteri]
  • A. Cerveteri chosen
    Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
  • B. Arcinazzo Romano
    Arcinazzo Romano is a small hill town in the Lazio region of central Italy, known for its scenic setting in the Simbruini Mountains and proximity to ancient Roman villa ruins.
  • C. Grottaferrata
    Grottaferrata is a historic monastic town in Italy known for its Byzantine-rite abbey and its central role in the Italo-Albanian Catholic tradition.
  • D. Montefiascone
    Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
  • E. Orvieto
    Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2b0cc48190853919135d5a172a completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:04 a.m.