Triple

T2570886
Position Surface form Disambiguated ID Type / Status
Subject Palestine Post E57661 entity
Predicate collectingField P39843 FINISHED
Object philately of Palestine 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: philately of Palestine | Statement: [Palestine Post, collectingField, philately of Palestine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectingField
Context triple: [Palestine Post, collectingField, philately of Palestine]
  • A. collectsFrom
    Indicates that one entity gathers, receives, or takes something (such as items, data, or payments) from another entity.
  • B. collectingArea
    Indicates the total surface area over which something (typically a device or system) gathers or receives a substance, signal, or resource.
  • C. collectedThrough
    Indicates that something was obtained, gathered, or acquired by means of a specified process, method, or channel.
  • D. canCollect
    Indicates that one entity has the ability or permission to gather, receive, or take possession of another entity.
  • E. collectedBy
    Indicates that one entity has gathered, acquired, or assembled another entity, typically as part of a collection or data-gathering process.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0ce4dcc8190b17a65abf9bd1bb0 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd251b48c8190862c7b39ea1bf8ea completed March 7, 2026, 7:22 a.m.
Created at: March 6, 2026, 9:48 p.m.