Triple

T1189344
Position Surface form Disambiguated ID Type / Status
Subject Purchas, His Pilgrimage E25320 entity
Predicate usedSources P11520 FINISHED
Object travelers’ reports 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: travelers’ reports | Statement: [Purchas, His Pilgrimage, usedSources, travelers’ reports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedSources
Context triple: [Purchas, His Pilgrimage, usedSources, travelers’ reports]
  • A. usedDataFrom chosen
    Indicates that one entity utilized or relied on data originating from another entity.
  • B. areUsedBy
    Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
  • C. usedOn
    Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
  • D. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • E. primarySources
    Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd57c3c481908bdca483fcaa3297 completed March 1, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69a4bb5bacc481909e8dfd5215e4711a completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.