Triple
T7597403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnes, London |
E179890
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Barnes Pond |
E553423
|
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: Barnes Pond | Statement: [Barnes, London, hasLandmark, Barnes Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnes Pond Context triple: [Barnes, London, hasLandmark, Barnes Pond]
-
A.
Barnes Pond
chosen
Barnes Pond is a small local body of water situated within the district of Barnes in southwest London, known for its wildlife and scenic surroundings.
-
B.
Bartlett Pond
Bartlett Pond is a small, remote wilderness pond located within the McKenzie Mountain Wilderness area of New York’s Adirondack Park.
-
C.
Browns Pond
Browns Pond is a small body of water, likely a pond or reservoir, that serves as the namesake for Browns Pond Brook.
-
D.
Osgood Pond
Osgood Pond is a scenic lake in New York’s Adirondack region known for its historic great camps, boating, and natural beauty.
-
E.
Showell Pond
Showell Pond is a small recreational lake in Sandown, New Hampshire, used for outdoor activities such as fishing and boating.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d4d3408190b9650347c7850c47 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d69516a88190912a9574aef3d1f8 |
completed | March 29, 2026, 7:36 a.m. |
Created at: March 27, 2026, 3:53 p.m.