Triple
T28755255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang International Circuit |
E731652
|
entity |
| Predicate | mainLayoutLengthMi |
P168737
|
FINISHED |
| Object | 2.830 |
—
|
LITERAL 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: 2.830 | Statement: [Chang International Circuit, mainLayoutLengthMi, 2.830]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLayoutLengthMi Context triple: [Chang International Circuit, mainLayoutLengthMi, 2.830]
-
A.
mainLayoutLengthKm
Indicates the length, measured in kilometers, of the primary or main layout associated with an entity.
-
B.
mainStraightLengthM
Indicates the length, measured in meters, of the main straight segment (typically of a track, road, or similar linear feature).
-
C.
mainDimension
Indicates the primary or most significant dimension by which something is measured, organized, or characterized within a given context.
-
D.
totalLength_m
Indicates the overall measured length of something expressed in meters.
-
E.
laneLength
Indicates the length or distance of a lane in a given context.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 6:09 a.m.