Triple
T6963557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterbeach |
E161430
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Landbeach |
E206531
|
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: Landbeach | Statement: [Waterbeach, nearbySettlement, Landbeach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landbeach Context triple: [Waterbeach, nearbySettlement, Landbeach]
-
A.
Landbeach
chosen
Landbeach is a small rural village in Cambridgeshire, England, located just north of Cambridge and known for its historic church and traditional fen-edge landscape.
-
B.
Devbag Beach
Devbag Beach is a serene coastal destination in Maharashtra’s Sindhudurg district, known for its clean sands, tranquil backwaters, and scenic views of the Arabian Sea.
-
C.
Sandhaven
Sandhaven is a small coastal village in the Buchan area of Aberdeenshire, northeast Scotland, historically associated with fishing and maritime activity.
-
D.
Waterbeach
Waterbeach is a village in Cambridgeshire, England, situated near the River Cam just north of Cambridge and served by its own railway station.
-
E.
Mylos Beach
Mylos Beach is a scenic, relatively secluded sandy beach on the Greek island of Lefkada, known for its clear turquoise waters and natural, unspoiled surroundings.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf197b0819085bd0433c8a7f716 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a0e5bc819098206940fc3ac623 |
completed | March 28, 2026, 4:27 a.m. |
Created at: March 27, 2026, 2:30 p.m.