Triple
T10003495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyRise elevator |
E198182
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Otis SkyRise
Otis SkyRise is a high-speed, high-rise elevator system designed by Otis for premium skyscrapers and other tall commercial buildings.
|
E835828
|
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: Otis SkyRise | Statement: [SkyRise elevator, brand, Otis SkyRise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otis SkyRise Context triple: [SkyRise elevator, brand, Otis SkyRise]
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Aerostar
Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
-
C.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
-
D.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
E.
Silverliner
Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
- 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: Otis SkyRise Triple: [SkyRise elevator, brand, Otis SkyRise]
Generated description
Otis SkyRise is a high-speed, high-rise elevator system designed by Otis for premium skyscrapers and other tall commercial buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otis SkyRise Target entity description: Otis SkyRise is a high-speed, high-rise elevator system designed by Otis for premium skyscrapers and other tall commercial buildings.
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Aerostar
Aerostar is a Romanian defense company known for developing and producing military aerospace and land-based weapons systems.
-
C.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
-
D.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
E.
Silverliner
Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd12f6488190bd5257b5f65437cc |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a41e25881908c7d1e15daeffc44 |
completed | April 5, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69d26bd389c081909ca7b1c3144eb894 |
completed | April 5, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:51 p.m.