Triple
T19972467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIC wheel arrangement classification |
E480111
|
entity |
| Predicate | digitMeaning |
P138096
|
FINISHED |
| Object | 1 denotes one non‑powered axle |
—
|
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: 1 denotes one non‑powered axle | Statement: [UIC wheel arrangement classification, digitMeaning, 1 denotes one non‑powered axle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitMeaning Context triple: [UIC wheel arrangement classification, digitMeaning, 1 denotes one non‑powered axle]
-
A.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
B.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
C.
starMeaning
Indicates that one entity represents or conveys the symbolic or interpretive significance of a star associated with another entity.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
centralFormulaMeaning
Indicates that one formula or expression represents the primary or core meaning within a larger logical, mathematical, or semantic structure.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bca94c0819095c902a411c4c4b8 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.