Triple

T14797496
Position Surface form Disambiguated ID Type / Status
Subject Whydah E347817 entity
Predicate hadFortificationsBy P29990 FINISHED
Object Portuguese 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: Portuguese | Statement: [Whydah, hadFortificationsBy, Portuguese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadFortificationsBy
Context triple: [Whydah, hadFortificationsBy, Portuguese]
  • A. hasFortifications
    Indicates that one entity possesses or is equipped with defensive structures or fortification works associated with it.
  • B. wasFortifiedBy chosen
    Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
  • C. usedFortificationsAt
    Indicates that an entity employed or deployed specific fortifications in a particular context, such as a battle, campaign, or defensive situation.
  • D. isFortificationGatewayOf
    Indicates that a gateway or entrance structure serves as an access point or defensive portal belonging to a specific fortification.
  • E. eraOfFortification
    Indicates the historical time period during which a structure or site was fortified or equipped with defensive works.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.