Triple

T18445221
Position Surface form Disambiguated ID Type / Status
Subject County of Edessa E450636 entity
Predicate residualTerritoriesLostBy P131643 FINISHED
Object 1150 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: 1150 | Statement: [County of Edessa, residualTerritoriesLostBy, 1150]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: residualTerritoriesLostBy
Context triple: [County of Edessa, residualTerritoriesLostBy, 1150]
  • A. lostTerritoryBy
    Indicates that one entity has had control or ownership of a territory taken away by another entity.
  • B. causedTerritorialLossesTo
    Indicates that one entity was responsible for another entity losing control over some portion of its territory.
  • C. lastTerritoriesConqueredBy
    Indicates that the referenced territories are the most recent ones taken control of through conquest by a specified entity.
  • D. lostSovereigntyIn
    Indicates that an entity ceased to possess or exercise sovereign authority within a specified place or domain.
  • E. lostSovereignty
    Indicates that an entity has ceased to possess independent authority or control over its own governance or territory.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c15127881909d23b6dd45d7ccc9 completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:30 a.m.