Triple

T13918516
Position Surface form Disambiguated ID Type / Status
Subject Sultanates E334682 entity
Predicate oftenSucceeded P112285 FINISHED
Object caliphate provinces or emirates 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: caliphate provinces or emirates | Statement: [Sultanates, oftenSucceeded, caliphate provinces or emirates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenSucceeded
Context triple: [Sultanates, oftenSucceeded, caliphate provinces or emirates]
  • A. oftenPrecededBy
    Indicates that one event, state, or item commonly occurs or appears before another in time or sequence.
  • B. succeededUnder
    Indicates that one entity achieved success or attained a position while operating under the authority, leadership, or conditions established by another entity.
  • C. oftenSays
    Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
  • D. maySucceed
    Indicates that one entity has the potential or possibility to follow or replace another in a role, position, or sequence.
  • E. oftenStatedWith
    Indicates that one statement, fact, or expression is frequently mentioned or asserted together with another.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
PD Predicate disambiguation batch_69de059e4ba881908554f72e889719fa completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239524688190a0f2408c239cfcaa completed April 14, 2026, 11:23 a.m.
Created at: April 9, 2026, 10:16 p.m.