Triple
T11242308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaughnessy |
E266099
|
entity |
| Predicate | locatedNorthOf |
P305
|
FINISHED |
| Object | Oakridge |
E164144
|
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: Oakridge | Statement: [Shaughnessy, locatedNorthOf, Oakridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakridge Context triple: [Shaughnessy, locatedNorthOf, Oakridge]
-
A.
Oakridge
Oakridge is a residential neighborhood within the town of Basingstoke in Hampshire, England.
-
B.
Oakridge
chosen
Oakridge is a residential neighbourhood located in the eastern Toronto district of Scarborough, Ontario, Canada.
-
C.
Oakridge
Oakridge is a residential neighborhood within the affluent suburban community of Blackhawk in Contra Costa County, California.
-
D.
Oakwood
Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
-
E.
Oakwood
Oakwood is a historically Black Seventh-day Adventist university in Huntsville, Alabama, known for its strong liberal arts and religious studies programs.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3eca6bc8190bc0640353a505ad5 |
completed | April 19, 2026, 3:25 p.m. |
Created at: April 8, 2026, 9:30 p.m.