Triple

T7683186
Position Surface form Disambiguated ID Type / Status
Subject Faliscan alphabet E174044 entity
Predicate associatedWith P37 FINISHED
Object Falerii E419145 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: Falerii | Statement: [Faliscan alphabet, associatedWith, Falerii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falerii
Context triple: [Faliscan alphabet, associatedWith, Falerii]
  • A. Falerii Veteres chosen
    Falerii Veteres was the principal ancient city of the Falisci in central Italy, known as a significant pre-Roman urban center later incorporated into the Roman sphere.
  • B. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • C. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • D. Fidenza
    Fidenza is a town in the Emilia-Romagna region of northern Italy, known for its historic center and Romanesque cathedral.
  • E. Ferentinum
    Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7021ce1308190be58d17ebaafa6ae completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a257af0c8190ba1a2693a42b9ebe completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.