Triple
T20247658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester and Western Railroad |
E498464
|
entity |
| Predicate | reportingMark |
P2130
|
FINISHED |
| Object | WW |
—
|
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: WW | Statement: [Winchester and Western Railroad, reportingMark, WW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WW Context triple: [Winchester and Western Railroad, reportingMark, WW]
-
A.
WW
WW is the commonly used abbreviation for Woodsworth College, a constituent college of the University of Toronto known for its diverse student body and focus on continuing and part-time education.
-
B.
WW
chosen
WW is the reporting mark used by the Winchester and Western Railroad, a shortline freight railroad operating primarily in the Mid-Atlantic region of the United States.
-
C.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
D.
W
W is a British pay television channel known for airing entertainment, lifestyle, and reality programming, including original UKTV productions and imported series.
-
E.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a3c61481909413e042d76cc580 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.