Triple

T9449060
Position Surface form Disambiguated ID Type / Status
Subject Mauretania Caesariensis E227838 entity
Predicate hadImportantCity P22141 FINISHED
Object Iol E792623 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: Iol | Statement: [Mauretania Caesariensis, hadImportantCity, Iol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iol
Context triple: [Mauretania Caesariensis, hadImportantCity, Iol]
  • A. Iol chosen
    Iol was an ancient Phoenician and later Roman port city in North Africa that became better known as Caesarea Mauretaniae under Roman rule.
  • B. Iólē
    Iólē is a figure from Greek mythology, known as the daughter of King Eurytus of Oechalia and a love interest of the hero Heracles.
  • C. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • D. Loiu
    Loiu is a municipality in Spain’s Basque Country best known as the site of Bilbao’s main international airport.
  • E. Jenolan
    Jenolan is a small locality in New South Wales, Australia, best known as the gateway to the famous Jenolan Caves and surrounding Blue Mountains wilderness.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f64fdc88190aec27793bfe62d77 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106f38448190bfdc289eb987e33f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.