Triple
T24412502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Grand Prix |
E615489
|
entity |
| Predicate | hasCircuitConfiguration |
P13644
|
FINISHED |
| Object | Estoril Grand Prix layout |
—
|
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: Estoril Grand Prix layout | Statement: [Portuguese Grand Prix, hasCircuitConfiguration, Estoril Grand Prix layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCircuitConfiguration Context triple: [Portuguese Grand Prix, hasCircuitConfiguration, Estoril Grand Prix layout]
-
A.
hasCircuit
Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
-
B.
hasCircuitRole
Indicates that an entity participates in a circuit with a specific functional role or responsibility within that circuit.
-
C.
hasCircuitLayout
Indicates that one entity possesses, includes, or is associated with a specific circuit layout design of another entity.
-
D.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
E.
usesCircuitType
Indicates that one entity employs or is implemented using a specific type of circuit.
- F. None of above.
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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958241e48190ae33297c5c5c0e59 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:11 a.m.