Triple

T9938008
Position Surface form Disambiguated ID Type / Status
Subject photon E194003 entity
Predicate canBeEntangledIn P91259 FINISHED
Object polarization 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: polarization | Statement: [photon, canBeEntangledIn, polarization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeEntangledIn
Context triple: [photon, canBeEntangledIn, polarization]
  • A. entangledWith
    Indicates a mutual state in which two or more entities are so interconnected that a change or condition in one inherently affects or constrains the other(s).
  • B. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • C. mayEngageIn
    Indicates that one entity is permitted or authorized to participate in or perform a particular activity or interaction with another entity.
  • D. canBeConvenedBy
    Indicates that an entity (such as a group, body, or meeting) may be formally brought together or assembled by a specified agent or authority.
  • E. canBelongTo
    Indicates that something is capable of being a member or part of a particular group, category, or owner.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e64760819094f599f158d32f33 completed April 2, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69cd1d9428cc81909b4b4938566d78a7 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:44 p.m.