Triple

T26448541
Position Surface form Disambiguated ID Type / Status
Subject Boilermaker Special E665276 entity
Predicate hasMiniatureVersion P106178 FINISHED
Object X-tra Special
X-tra Special is a smaller, mascot-style replica of Purdue University's Boilermaker Special locomotive used for events and appearances where the full-sized vehicle is impractical.
 E1725964 NE FINISHED

How this triple was built (3 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: X-tra Special | Statement: [Boilermaker Special, hasMiniatureVersion, X-tra Special]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: X-tra Special
Triple: [Boilermaker Special, hasMiniatureVersion, X-tra Special]
Generated description
X-tra Special is a smaller, mascot-style replica of Purdue University's Boilermaker Special locomotive used for events and appearances where the full-sized vehicle is impractical.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMiniatureVersion
Context triple: [Boilermaker Special, hasMiniatureVersion, X-tra Special]
  • A. hasMiniature chosen
    Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
  • B. hasApproximateNumberOfMiniatures
    Indicates that an entity is associated with an estimated or non-exact count of miniatures.
  • C. hasSmallerVersion
    Indicates that one entity exists as a reduced-size or smaller-scale version of another entity.
  • D. hasOfficialShortVersion
    Indicates that an entity has an officially recognized abbreviated or shortened form.
  • E. hasFullLengthVersion
    Indicates that an entity has a corresponding complete or unabridged version of itself or its content.
  • F. None of above.

Provenance (6 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_69ee883d5040819097dd154643005230 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aed363588190aa034deba58b995c completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11b0d01c888190b9d9fc6b9ce0f559 completed May 23, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_6a11b153e75481909616cc822af77b10 completed May 23, 2026, 1:53 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 27, 2026, 12:03 a.m.