Triple
T14312780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pa.R.A.P. |
E354873
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Pa.R.A.P. |
E354873
|
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: Pa.R.A.P. | Statement: [Pa.R.A.P., hasAbbreviation, Pa.R.A.P.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pa.R.A.P. Context triple: [Pa.R.A.P., hasAbbreviation, Pa.R.A.P.]
-
A.
Pa.R.A.P.
chosen
Pa.R.A.P. is the standard abbreviation for the Pennsylvania Rules of Appellate Procedure, which govern appellate practice in Pennsylvania’s courts.
-
B.
Pa.R.E.
Pa.R.E. is the abbreviation for the Pennsylvania Rules of Evidence, which govern the admissibility and use of evidence in Pennsylvania courts.
-
C.
Riding the Rap
"Riding the Rap" is a crime novel by Elmore Leonard featuring U.S. Marshal Raylan Givens as he navigates a kidnapping scheme in South Florida.
-
D.
Rap N Roll
Rap N Roll is a hip-hop project by Los Angeles rapper Dom Kennedy known for its laid-back West Coast sound and smooth, conversational lyricism.
-
E.
Bring da Ruckus
"Bring da Ruckus" is the hard-hitting opening track by the Wu-Tang Clan that sets the raw, gritty tone for their landmark debut album.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c36a8b48190a3987b1026b3da65 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:12 a.m.