Triple

T6183574
Position Surface form Disambiguated ID Type / Status
Subject Pescina E138001 entity
Predicate partOf P40 FINISHED
Object Marsica E223919 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: Marsica | Statement: [Pescina, partOf, Marsica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsica
Context triple: [Pescina, partOf, Marsica]
  • A. Marsica chosen
    Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
  • B. Marsciano
    Marsciano is a town and comune in the Umbria region of central Italy, known for its medieval historic center and agricultural surroundings.
  • C. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.