Triple
T888773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 75th Ranger Regiment scroll |
E19190
|
entity |
| Predicate | text |
P2203
|
FINISHED |
| Object | RANGER |
E3240
|
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: RANGER | Statement: [75th Ranger Regiment scroll, text, RANGER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RANGER Context triple: [75th Ranger Regiment scroll, text, RANGER]
-
A.
Ranger Tab
The Ranger Tab is a prestigious U.S. Army qualification insignia awarded to soldiers who successfully complete the rigorous Ranger School combat leadership course.
-
B.
Ranger Creed
chosen
The Ranger Creed is the guiding ethos and warrior code that defines the values, discipline, and combat mindset of United States Army Rangers.
-
C.
Ranger Assessment and Selection Program
The Ranger Assessment and Selection Program (RASP) is an intensive U.S. Army course that rigorously evaluates and prepares soldiers for service in the elite 75th Ranger Regiment.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Rasor
Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acff52008190ac2975c08ad29f54 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c023464481909759c457e87266ab |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.