Triple
T30521608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autodromo Internazionale Enzo e Dino Ferrari |
E776705
|
entity |
| Predicate | hasChicaneAddedAt |
P162416
|
FINISHED |
| Object | Tamburello |
—
|
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: Tamburello | Statement: [Autodromo Internazionale Enzo e Dino Ferrari, hasChicaneAddedAt, Tamburello]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChicaneAddedAt Context triple: [Autodromo Internazionale Enzo e Dino Ferrari, hasChicaneAddedAt, Tamburello]
-
A.
hasChicane
Indicates that one entity incorporates or features a chicane (a sharp, S-shaped bend or series of bends), typically in the context of a track, route, or path.
-
B.
chicanesAddedIn
chosen
Indicates that chicanes (artificial bends or curves) have been installed or introduced within a specified location or section.
-
C.
keyChicane
Indicates a relationship where something functions as a primary or defining chicane (a key turning or zigzag feature) within a larger structure, path, or system.
-
D.
hasPitLane
Indicates that a racing circuit, track, or similar facility includes a designated pit lane area for vehicle servicing and related activities.
-
E.
hadCheckpoint
Indicates that an entity passed through, reached, or was associated with a specific checkpoint at some point in time.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 29, 2026, 8:17 p.m.