Triple
T682272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brentford |
E13207
|
entity |
| Predicate | hasWaterwayJunction |
P16534
|
FINISHED |
| Object | junction of River Brent and River Thames |
—
|
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: junction of River Brent and River Thames | Statement: [Brentford, hasWaterwayJunction, junction of River Brent and River Thames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterwayJunction Context triple: [Brentford, hasWaterwayJunction, junction of River Brent and River Thames]
-
A.
waterwayJunction
chosen
Indicates a point where two or more waterways meet, intersect, or branch from one another.
-
B.
hasWaterwayRole
Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
-
C.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
D.
hasStructureOnWatercourse
Indicates that a structure is physically located on, over, or directly associated with a specific watercourse.
-
E.
riverConfluence
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
- F. None of above.
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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a06f9ee88190a2d757aacd8e3f5b |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.