Triple

T1346485
Position Surface form Disambiguated ID Type / Status
Subject Interstate 495 (Capital Beltway) E28581 entity
Predicate numberingConvention P20334 FINISHED
Object three-digit auxiliary Interstate of I-95 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: three-digit auxiliary Interstate of I-95 | Statement: [Interstate 495 (Capital Beltway), numberingConvention, three-digit auxiliary Interstate of I-95]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberingConvention
Context triple: [Interstate 495 (Capital Beltway), numberingConvention, three-digit auxiliary Interstate of I-95]
  • A. numberingType
    Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
  • B. standardNumberingScheme chosen
    Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
  • C. isNumbered
    Indicates that an entity has been assigned a specific number or position in an ordered sequence.
  • D. hasCategoryNumbering
    Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
  • E. usesHarmonizedNumberingWith
    Indicates that two entities apply the same standardized numbering scheme so their identifiers or codes are directly comparable or aligned.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69a4bef5857c81909ae984feb85a26ca completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.