Triple
T22918300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP |
E568789
|
entity |
| Predicate | dataProviderSymbolFormat |
P149332
|
FINISHED |
| Object | PEP US |
—
|
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: PEP US | Statement: [PEP, dataProviderSymbolFormat, PEP US]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP US Context triple: [PEP, dataProviderSymbolFormat, PEP US]
-
A.
PEP
chosen
PEP is the stock ticker symbol for PepsiCo, the multinational food, snack, and beverage corporation traded on the NASDAQ.
-
B.
PEP 1
PEP 1 is the foundational Python Enhancement Proposal that defines the purpose, structure, and workflow for all other PEPs in the Python community process.
-
C.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
D.
ELP
ELP is a British progressive rock supergroup best known for its virtuosic musicianship, elaborate live performances, and influential 1970s albums.
-
E.
ELP
ELP is the three-letter National Rail station code for Ellesmere Port railway station in Cheshire, England.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.