Triple
T13288488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrod Straight |
E316502
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Forrest’s Elbow |
E1033008
|
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: Forrest’s Elbow | Statement: [Conrod Straight, follows, Forrest’s Elbow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forrest’s Elbow Context triple: [Conrod Straight, follows, Forrest’s Elbow]
-
A.
Forest's Elbow
chosen
Forest's Elbow is a tight, downhill left-hand corner on Australia’s Mount Panorama Circuit that leads onto the long Conrod Straight and is known for its challenging braking and exit.
-
B.
Hokes Bluff
Hokes Bluff is a small community in northeastern Alabama known for its residential character and proximity to the city of Gadsden.
-
C.
Brushy Knob
Brushy Knob is a lesser-known peak located within the Black Mountains range.
-
D.
Timber Gap
Timber Gap is a mountain pass in California’s Sierra Nevada, known as a backcountry route within Sequoia National Park.
-
E.
Burnt Knob
Burnt Knob is a mountain peak in New York’s Catskill Mountains, known for its scenic views and forested hiking trails.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99076aeec8190b0cb883ab60d3f6b |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305fd57881909c1d7f09f3c084cf |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:27 p.m.