Triple

T28773267
Position Surface form Disambiguated ID Type / Status
Subject Syrian region E726468 entity
Predicate historicallyIncludesTerritoryOf P24920 FINISHED
Object Syria 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: Syria | Statement: [Syrian region, historicallyIncludesTerritoryOf, Syria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyIncludesTerritoryOf
Context triple: [Syrian region, historicallyIncludesTerritoryOf, Syria]
  • A. hasHistoricTerritory chosen
    Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
  • B. wasCoreTerritoryOf
    Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
  • C. historicalTerritoryType
    Indicates that a territory is classified according to a specific type or category it held during a historical period.
  • D. hasHistoricalTerritoryNear
    Indicates that an entity historically controlled or claimed territory in geographic proximity to another specified location or region.
  • E. historicallyPartOf
    Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
  • 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_69f03199997c8190b6ae43fb19312443 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fe30bc64308190b603ff1b30c2aeee completed May 8, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fe2f7175b081908dd61e1513620bbe completed May 8, 2026, 6:46 p.m.
Created at: April 28, 2026, 6:16 a.m.