Triple
T1453473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Line |
E31344
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Waterbeach |
E161430
|
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: Waterbeach | Statement: [Fen Line, passesThrough, Waterbeach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waterbeach Context triple: [Fen Line, passesThrough, Waterbeach]
-
A.
Waterbeach
chosen
Waterbeach is a village in Cambridgeshire, England, situated near the River Cam just north of Cambridge and served by its own railway station.
-
B.
Bar Beach
Bar Beach is a popular coastal surf beach and suburb located just southwest of central Newcastle in New South Wales, Australia.
-
C.
Seaside
Seaside is a coastal city in Monterey County, California, known for its proximity to Monterey Bay and California State University, Monterey Bay.
-
D.
Seaside
Seaside is a popular resort city on the northern Oregon Coast known for its sandy beaches, historic promenade, and family-friendly attractions.
-
E.
Ruby Beach
Ruby Beach is a rugged, driftwood-strewn Pacific Ocean shoreline in Washington State known for its sea stacks, tide pools, and dramatic coastal scenery.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57e82d48190a30a4512f39f5de0 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c7db088190877addd5edd6c087 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.