Triple

T34141523
Position Surface form Disambiguated ID Type / Status
Subject PPP over ATM E875730 entity
Predicate isUsedBetween P17799 FINISHED
Object customer premises equipment and DSLAM 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: customer premises equipment and DSLAM | Statement: [PPP over ATM, isUsedBetween, customer premises equipment and DSLAM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUsedBetween
Context triple: [PPP over ATM, isUsedBetween, customer premises equipment and DSLAM]
  • A. usedBetween chosen
    Indicates that something serves as a means, medium, or shared resource connecting or operating jointly between two entities.
  • B. appliesBetween
    Indicates that a specified condition, rule, or relationship holds specifically between two or more entities, rather than for each entity individually.
  • C. isUsedAs
    Indicates that one entity serves a particular function, role, or purpose as another entity.
  • D. currentBetween
    Indicates that the current value of a quantity lies within a specified range between two boundary values.
  • E. isCrossBetween
    Indicates that one entity is a hybrid or intermediate form resulting from the combination or mixing of two other entities.
  • 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_69f349aaeef08190a20e72a3fdeb7052 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70fb4f18c819099ef6d9177b7d205 completed May 3, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69f70f3a54d481909ba6bdda3647b761 completed May 3, 2026, 9:02 a.m.
Created at: May 1, 2026, 1:54 a.m.