Triple
T7287285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Windsor Lock |
E163904
|
entity |
| Predicate | waterwayDirection |
P75396
|
FINISHED |
| Object | between Bell Weir Lock and Romney Lock |
—
|
LITERAL 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: between Bell Weir Lock and Romney Lock | Statement: [Old Windsor Lock, waterwayDirection, between Bell Weir Lock and Romney Lock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterwayDirection Context triple: [Old Windsor Lock, waterwayDirection, between Bell Weir Lock and Romney Lock]
-
A.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
B.
waterwayClass
Indicates the classification or type of a waterway based on its navigational, functional, or physical characteristics.
-
C.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
D.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
E.
stateWaterway
Indicates that a waterway is located within, passes through, or is otherwise geographically associated with a particular state.
- F. None of above. chosen
Provenance (4 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb532adc8190bcbbf31bb54383fb |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e82b0f9881909d29c99af1ea0dbf |
completed | March 27, 2026, 8:27 p.m. |
Created at: March 27, 2026, 2:59 p.m.