Triple
T11193429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodside ferry terminal |
E264859
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Woodside |
E264864
|
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: Woodside | Statement: [Woodside ferry terminal, locatedIn, Woodside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodside Context triple: [Woodside ferry terminal, locatedIn, Woodside]
-
A.
Woodside
chosen
Woodside is a riverside district and ferry terminal on the Wirral Peninsula in England, serving as a key crossing point on the River Mersey opposite Liverpool.
-
B.
Woodside
Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
-
C.
Woodside
Woodside is a major Long Island Rail Road station in Queens, New York City, serving as a key transfer point between commuter rail lines and the New York City Subway.
-
D.
Woodside
Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
-
E.
Woodside
Woodside is a small, affluent town on the San Francisco Peninsula in California, known for its wooded rural character, large estates, and extensive network of nearby parks and open space preserves.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483f8ecf4819086f0bab3ca9ddcb4 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.