Triple
T21388805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodstock Road |
E527582
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Woodstock |
—
|
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: Woodstock | Statement: [Woodstock Road, connectsTo, Woodstock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodstock Context triple: [Woodstock Road, connectsTo, Woodstock]
-
A.
Woodstock
Woodstock is a historical novel by Sir Walter Scott set during the English Civil War, blending political intrigue, romance, and elements of the supernatural.
-
B.
Woodstock
Woodstock is the small, yellow bird who serves as Snoopy’s loyal friend and sidekick in the Peanuts comic strip.
-
C.
Woodstock
Woodstock is a suburban city in the Atlanta metropolitan area, known for its rapidly growing population, revitalized downtown, and family-friendly community.
-
D.
Woodstock
Woodstock is a historic 1969 music festival in upstate New York that became a symbol of the counterculture movement and peace activism.
-
E.
Woodstock
chosen
Woodstock is a historic New England town in Vermont known for its picturesque village green, classic covered bridges, and well-preserved 19th-century architecture.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cbfef08190a33ac1f198c82cd0 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:12 p.m.