Triple

T18890189
Position Surface form Disambiguated ID Type / Status
Subject Anagnia E462064 entity
Predicate locatedNear P294 FINISHED
Object Anagni 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: Anagni | Statement: [Anagnia, locatedNear, Anagni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anagni
Context triple: [Anagnia, locatedNear, Anagni]
  • A. Anagni chosen
    Anagni is a historic medieval town in central Italy, renowned as the "City of the Popes" for having been the residence of several pontiffs and the site of significant events in papal history.
  • B. Montecastrilli
    Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
  • 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. Paliano
    Paliano is a historic town in the Lazio region of central Italy, traditionally linked to the noble Colonna family.
  • E. Monterubbiano
    Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c479f3208190a9d665865c4b630b completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.