Triple

T5969130
Position Surface form Disambiguated ID Type / Status
Subject 75th Ranger Regiment E132828 entity
Predicate abbreviation P43 FINISHED
Object 75th RR
The 75th RR is an elite U.S. Army special operations light infantry unit known for rapid deployment, direct action raids, and airborne operations.
 E558658 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: 75th RR | Statement: [75th Ranger Regiment, abbreviation, 75th RR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 75th RR
Context triple: [75th Ranger Regiment, abbreviation, 75th RR]
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. R5 Paoli
    R5 Paoli was the former designation for a commuter rail service segment on SEPTA’s Paoli/Thorndale Line in the Philadelphia area.
  • C. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • D. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • E. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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: 75th RR
Triple: [75th Ranger Regiment, abbreviation, 75th RR]
Generated description
The 75th RR is an elite U.S. Army special operations light infantry unit known for rapid deployment, direct action raids, and airborne operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 75th RR
Target entity description: The 75th RR is an elite U.S. Army special operations light infantry unit known for rapid deployment, direct action raids, and airborne operations.
  • A. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • B. R5 Paoli
    R5 Paoli was the former designation for a commuter rail service segment on SEPTA’s Paoli/Thorndale Line in the Philadelphia area.
  • C. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • D. R5
    R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
  • E. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a40cfe08190a40de42831af7cf8 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40506848190843971e772d56054 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0edb0a0808190b2b6f5fc0d7b7913 completed March 23, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_69c0ee2ffbc88190a256b5cb8a98f382 completed March 23, 2026, 7:39 a.m.
Created at: March 22, 2026, 4:03 p.m.