Triple

T24306748
Position Surface form Disambiguated ID Type / Status
Subject Olympian Hiawatha E612555 entity
Predicate knownFor P22 FINISHED
Object Skytop observation cars
Skytop observation cars were distinctive streamlined passenger railcars with glassed-in rear lounges designed by industrial designer Brooks Stevens for luxurious scenic viewing on mid-20th-century American trains.
 E1629192 NE 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: Skytop observation cars | Statement: [Olympian Hiawatha, knownFor, Skytop observation cars]
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: Skytop observation cars
Triple: [Olympian Hiawatha, knownFor, Skytop observation cars]
Generated description
Skytop observation cars were distinctive streamlined passenger railcars with glassed-in rear lounges designed by industrial designer Brooks Stevens for luxurious scenic viewing on mid-20th-century American trains.

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292272af88190b9c23615adbac911 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9d92dec81909afe3a9c58121dac completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcb9821dc81909eda37ccba173c7c completed May 22, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcc2cd0108190a7531d50f6be2386 completed May 22, 2026, 3:23 a.m.
Created at: April 18, 2026, 1:31 a.m.