Triple
T22387146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnes Pond |
E553423
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barnes |
—
|
NE NERFINISHED |
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 | Statement: [Barnes Pond, locatedIn, Barnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnes Context triple: [Barnes Pond, locatedIn, Barnes]
-
A.
Barnes
chosen
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
B.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
C.
Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
-
D.
Barnes
Barnes is a common English surname of Anglo-Saxon origin, often associated with families from Britain and other English-speaking countries.
-
E.
Barnes
Barnes is a notable member of the Human Resistance, recognized for their significant role in opposing an oppressive or antagonistic force.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158304bcc81908c4c5db09a246bcc |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.