Triple
T35740042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffins Bend |
E1033007
|
entity |
| Predicate | onCircuit |
P183875
|
FINISHED |
| Object | Mount Panorama street circuit |
—
|
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: Mount Panorama street circuit | Statement: [Griffins Bend, onCircuit, Mount Panorama street circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onCircuit Context triple: [Griffins Bend, onCircuit, Mount Panorama street circuit]
-
A.
isCircuit
Indicates that an entity functions as or constitutes an electrical or logical circuit within a system.
-
B.
circuit
Indicates that one entity forms or participates in an electrical or logical pathway that allows current or signals to flow through a connected system involving another entity.
-
C.
associatedWithCircuit
Indicates a relationship where an entity is linked or connected in function, design, or context to a specific circuit.
-
D.
hasCircuit
Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
-
E.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
- F. None of above. chosen
Provenance (4 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:06 p.m.