Triple

T13536831
Position Surface form Disambiguated ID Type / Status
Subject Dom-Römer reconstruction project E323282 entity
Predicate numberOfReconstructedHistoricalBuildings P110741 FINISHED
Object 15 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: 15 | Statement: [Dom-Römer reconstruction project, numberOfReconstructedHistoricalBuildings, 15]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfReconstructedHistoricalBuildings
Context triple: [Dom-Römer reconstruction project, numberOfReconstructedHistoricalBuildings, 15]
  • A. hasPreservedBuildings
    Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
  • B. hasRebuiltHistoricCenter
    Indicates that an entity has undertaken and completed the restoration or reconstruction of a historic city or town center.
  • C. historicalReconstruction
    Indicates the process of recreating or inferring past events, conditions, or states of affairs based on available evidence or records.
  • D. typeOfBuildingRestored
    Indicates that a particular type of building has undergone restoration or renovation.
  • E. historicalStructure
    Indicates that the subject is a structure recognized for its historical significance or heritage value.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
PD Predicate disambiguation batch_69dbae1046c48190b4ee98c6c9cb9d85 completed April 12, 2026, 2:37 p.m.
PDg Predicate description generation batch_69dbaecc98cc8190829f5be759c4f1e3 completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:45 p.m.