Triple

T29021213
Position Surface form Disambiguated ID Type / Status
Subject Italy and Africa E737455 entity
Predicate encompassedTerritory P11790 FINISHED
Object Italian peninsula LITERAL 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: Italian peninsula | Statement: [Italy and Africa, encompassedTerritory, Italian peninsula]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: encompassedTerritory
Context triple: [Italy and Africa, encompassedTerritory, Italian peninsula]
  • A. territorialExtent
    Indicates the geographic area or spatial range over which something extends, applies, or has jurisdiction.
  • B. mainTerritoryOfInfluence
    Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
  • C. territoryIncluded chosen
    Indicates that one territory is geographically or administratively contained within another territory.
  • D. territoryCorrespondedTo
    Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
  • E. territoryOriginallyIncluded
    Indicates that an earlier or original territorial boundary encompassed the referenced area or entity.
  • F. None of above.

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_69f077ee19f881909af48f9cab00a2e5 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66005ea00819085501231fe82cc5e completed May 2, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:49 a.m.