Triple

T14615968
Position Surface form Disambiguated ID Type / Status
Subject Minturno E343085 entity
Predicate demonym P191 FINISHED
Object Minturnesi E725085 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: Minturnesi | Statement: [Minturno, demonym, Minturnesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minturnesi
Context triple: [Minturno, demonym, Minturnesi]
  • A. Minturnae chosen
    Minturnae was an ancient Roman town in Latium, Italy, situated along the Via Appia near the mouth of the Liris River and known for its strategic location and archaeological remains.
  • B. Mendicino
    Mendicino is a small town and comune in the Calabria region of southern Italy, known for its historic hilltop setting near the city of Cosenza.
  • C. Montenars
    Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
  • D. Seravezza
    Seravezza is a historic Tuscan town in central Italy, known for its marble quarries and scenic location in the Apuan Alps.
  • E. Maruggio
    Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.