Triple

T3056784
Position Surface form Disambiguated ID Type / Status
Subject Midrand E60499 entity
Predicate nearHighway P3561 FINISHED
Object R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
 E323447 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: R55 | Statement: [Midrand, nearHighway, R55]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R55
Context triple: [Midrand, nearHighway, R55]
  • A. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • B. R-5
    The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
  • C. R5 Paoli
    R5 Paoli was the former designation for a commuter rail service segment on SEPTA’s Paoli/Thorndale Line in the Philadelphia area.
  • D. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • 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: R55
Triple: [Midrand, nearHighway, R55]
Generated description
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R55
Target entity description: R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • A. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • B. R-5
    The R-5 is an early Sikorsky military helicopter developed during World War II, known for advancing rotary-wing design and serving in roles such as rescue and liaison.
  • C. R5 Paoli
    R5 Paoli was the former designation for a commuter rail service segment on SEPTA’s Paoli/Thorndale Line in the Philadelphia area.
  • D. M55
    M55 is a New York City bus route that provides public transit service connecting to the Whitehall Terminal area in Lower Manhattan.
  • E. S550
    S550 is Ford’s internal platform designation for the sixth-generation Mustang, introduced for the 2015 model year with a modernized chassis and global market focus.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0671e48190a793f907cc211dd8 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efcf4da08190a9fd5fd88bba0358 completed March 11, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69b1f1ce72388190871884c99526057d completed March 11, 2026, 10:50 p.m.
Created at: March 8, 2026, 3:02 p.m.