Triple

T11841184
Position Surface form Disambiguated ID Type / Status
Subject Oldsmobile 442 E281654 entity
Predicate notableTrim P25549 FINISHED
Object W-30
W-30 is a high-performance option package for the Oldsmobile 442 muscle car, known for enhancing power, handling, and overall track capability.
 E949142 NE FINISHED

How this triple was built (4 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: W-30 | Statement: [Oldsmobile 442, notableTrim, W-30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: W-30
Context triple: [Oldsmobile 442, notableTrim, W-30]
  • A. W-53
    The W-53 was a high-yield American thermonuclear warhead developed during the Cold War and deployed on Titan II intercontinental ballistic missiles.
  • B. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • C. W3
    W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
  • D. W 032
    W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
  • E. W4
    W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: W-30
Triple: [Oldsmobile 442, notableTrim, W-30]
Generated description
W-30 is a high-performance option package for the Oldsmobile 442 muscle car, known for enhancing power, handling, and overall track capability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: W-30
Target entity description: W-30 is a high-performance option package for the Oldsmobile 442 muscle car, known for enhancing power, handling, and overall track capability.
  • A. W-53
    The W-53 was a high-yield American thermonuclear warhead developed during the Cold War and deployed on Titan II intercontinental ballistic missiles.
  • B. W3
    W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
  • C. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • D. W 032
    W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
  • E. W4
    W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
  • F. None of above. chosen

Provenance (5 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1678668ac81909bddf67e8c176757 completed April 29, 2026, 2:05 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.