Triple
T22635083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 75th Ranger Regiment |
E558658
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | 75th RR |
—
|
NE NERFINISHED |
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: 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.
75th RR
chosen
The 75th RR is an elite U.S. Army special operations light infantry unit known for rapid deployment, direct action raids, and airborne operations.
-
B.
75 RR
75 RR is the commonly used abbreviation for the U.S. Army’s elite 75th Ranger Regiment, a premier airborne light infantry special operations unit.
-
C.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
-
D.
R5 Paoli
R5 Paoli was the former designation for a commuter rail service segment on SEPTA’s Paoli/Thorndale Line in the Philadelphia area.
-
E.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700d492081909bab8d9dbb1faef2 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.