Triple

T23534081
Position Surface form Disambiguated ID Type / Status
Subject Via Lata E576645 entity
Predicate connectedTo P37 FINISHED
Object Porta Flaminia NE NERFINISHED

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: Porta Flaminia | Statement: [Via Lata, connectedTo, Porta Flaminia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porta Flaminia
Context triple: [Via Lata, connectedTo, Porta Flaminia]
  • A. Porta Flaminia chosen
    Porta Flaminia, better known today as Porta del Popolo, is a historic northern gate in Rome’s Aurelian Walls that served for centuries as a principal entrance to the city.
  • B. Porta Romana
    Porta Romana is an underground station on Milan’s Metro Line 3 serving the historic Porta Romana district south of the city center.
  • C. Porta Romana
    Porta Romana is a historic city gate in Viterbo, Italy, serving as one of the traditional entrances through the town’s medieval walls.
  • D. Porta Romana
    Porta Romana is a historic city gate in Velletri, Italy, notable as one of the traditional entrances to the town.
  • E. Porta Romana
    Porta Romana is a historic city gate in Norcia, Italy, notable as one of the main entrances through the town’s medieval walls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae14ae3c8190aa2714ea07a4658a completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.