Triple
T23313062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 2960 |
E590631
|
entity |
| Predicate | area |
P175
|
FINISHED |
| Object | Transport Area |
—
|
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: Transport Area | Statement: [RFC 2960, area, Transport Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transport Area Context triple: [RFC 2960, area, Transport Area]
-
A.
Transport Area
chosen
The Transport Area is the part of the Internet Engineering Task Force (IETF) responsible for developing and maintaining transport-layer protocols and related technologies that govern end-to-end data delivery on the Internet.
-
B.
City Transit Zone
City Transit Zone is a central fare zone within the SEPTA transit system that covers local city transit services such as trolleys, buses, and subways in Philadelphia.
-
C.
Cities Area Transit
Cities Area Transit is the public bus transportation system serving the Greater Grand Forks metropolitan area in North Dakota and Minnesota.
-
D.
Transit
"Transit" is a 1944 novel by German writer Anna Seghers that portrays refugees, identity, and displacement in Marseille during World War II.
-
E.
Travel and Transport Building
The Travel and Transport Building was a major exhibition hall at the 1933–1934 Chicago World's Fair that showcased innovations and displays related to contemporary and future modes of transportation.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972ca70481909e2415c65964210a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.