Triple

T27043938
Position Surface form Disambiguated ID Type / Status
Subject Beja, Kingdom of Portugal E684567 entity
Predicate wasStrategicCenterIn P162501 FINISHED
Object Reconquista 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: Reconquista | Statement: [Beja, Kingdom of Portugal, wasStrategicCenterIn, Reconquista]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasStrategicCenterIn
Context triple: [Beja, Kingdom of Portugal, wasStrategicCenterIn, Reconquista]
  • A. wasCitadelOf
    Indicates that a place previously served as the main fortified stronghold or central defensive structure for another entity.
  • B. isDiplomaticCenterOf
    Indicates that a location serves as the primary site or hub for conducting diplomatic activities and relations for a specified entity.
  • C. hasMajorHistoricalCentersIn
    Indicates that an entity possesses significant, historically important centers or hubs located within a specified place or region.
  • D. isPlannedRegionalCapitalOf
    Indicates that a location has been officially designated to become the regional capital in the future, but is not yet serving as the current regional capital.
  • E. wasImportantCityOf
    Indicates that a city held significant importance or prominence within a specified larger political or geographic entity during a given time period.
  • 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_69ef148193c48190bb1a0cfae6a407c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62b9e5ba88190a3c0d46edec7afe7 completed May 2, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
PDg Predicate description generation batch_69f625402d808190be8279d895d2b27f completed May 2, 2026, 4:24 p.m.
Created at: April 27, 2026, 8:08 a.m.