Triple

T7196480
Position Surface form Disambiguated ID Type / Status
Subject AC-9 E168627 entity
Predicate whyNotable P34707 FINISHED
Object largest conventional steam locomotives on Southern Pacific 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: largest conventional steam locomotives on Southern Pacific | Statement: [AC-9, whyNotable, largest conventional steam locomotives on Southern Pacific]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: whyNotable
Context triple: [AC-9, whyNotable, largest conventional steam locomotives on Southern Pacific]
  • A. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. notableLibrary
    Indicates that the subject is a library recognized for its significance, prominence, or special importance.
  • D. notableCriterion
    Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
  • E. subjectNotableFor chosen
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e928ecdc8190a7f3feaf6d28781b completed March 27, 2026, 8:31 p.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:51 p.m.