Triple
T14073930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Sulphur Springs |
E338681
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | The Greenbrier |
E338678
|
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: The Greenbrier | Statement: [White Sulphur Springs, knownFor, The Greenbrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Greenbrier Context triple: [White Sulphur Springs, knownFor, The Greenbrier]
-
A.
The Greenbrier
chosen
The Greenbrier is a historic luxury resort in West Virginia renowned for its grand architecture, mineral springs, and Cold War-era underground bunker.
-
B.
Greenbrier Valley
Greenbrier Valley is a scenic region in southeastern West Virginia known for its rolling countryside, outdoor recreation, and historic small towns.
-
C.
Ligonier
Ligonier is a small historic borough in Pennsylvania known for its picturesque town square, frontier-era fort, and role as a gateway to the Laurel Highlands region.
-
D.
Brushy Knob
Brushy Knob is a lesser-known peak located within the Black Mountains range.
-
E.
Rio, West Virginia
Rio is a small unincorporated community in northeastern West Virginia known for its rural setting along the North River in Hampshire County.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66eeb248190b73e992ab6b9af82 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.