Triple
T22005813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machine Head |
E543448
|
entity |
| Predicate | cityOfOrigin |
P3743
|
FINISHED |
| Object | Oakland, California |
—
|
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: Oakland, California | Statement: [Machine Head, cityOfOrigin, Oakland, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakland, California Context triple: [Machine Head, cityOfOrigin, Oakland, California]
-
A.
Oakland
Oakland is a small village in northwestern Rhode Island known for its historic mill-era architecture and rural residential character within the town of Burrillville.
-
B.
Oakland
Oakland is a major Pittsburgh neighborhood known as the city’s educational and cultural hub, home to institutions like the University of Pittsburgh and Carnegie Mellon University.
-
C.
Oakland
Oakland is a neighborhood on Chicago’s South Side known for its historic residential architecture and proximity to the lakefront.
-
D.
Oakland
Oakland is a small city in western Iowa, United States, known for its rural Midwestern character and local agricultural community.
-
E.
Oakland
chosen
Oakland is a major port city in the San Francisco Bay Area known for its cultural diversity, progressive politics, and significant role in West Coast shipping and industry.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.