Triple
T16797761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geographe wine region |
E408276
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Harvey |
E286979
|
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: Harvey | Statement: [Geographe wine region, near, Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harvey Context triple: [Geographe wine region, near, Harvey]
-
A.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
B.
Harvey
chosen
Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
-
C.
Harvey
Harvey is a masculine given name of Old English origin meaning "battle worthy" or "strong in battle."
-
D.
Harvey
Harvey is a suburban community in Jefferson Parish, Louisiana, located on the west bank of the Mississippi River near New Orleans.
-
E.
Harvey
Harvey is a notable work associated with actor Morgan Spector, recognized as part of his professional portfolio in film, television, or theater.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ab08e8819097072a23c4a62392 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1299ac81908e9f1eebc3424bb9 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.