Triple

T9274143
Position Surface form Disambiguated ID Type / Status
Subject Lupanar of Pompeii E222900 entity
Predicate hasGroundFloorRooms P87903 FINISHED
Object 5 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: 5 | Statement: [Lupanar of Pompeii, hasGroundFloorRooms, 5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGroundFloorRooms
Context triple: [Lupanar of Pompeii, hasGroundFloorRooms, 5]
  • A. hasGroundFloor
    Indicates that a building or structure includes a ground-level floor as part of its layout or design.
  • B. hasFloorsAboveGround
    Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
  • C. hasGroundFloorUse
    Indicates that a building or structure is associated with a specific functional use assigned to its ground floor level.
  • D. hasUpperFloor
    Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
  • E. hasFloor
    Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
  • F. None of above. chosen

Provenance (4 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0788e87c81909ccda40d94cc6705 completed April 1, 2026, 11:54 a.m.
PD Predicate disambiguation batch_69cc7a537bbc8190baee71f556e52a7b completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc95597be081908ece2491dd2f0f74 completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:33 p.m.