Triple
T28735843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Golf GTI |
E730795
|
entity |
| Predicate | GTIMeaning |
P165274
|
FINISHED |
| Object | Grand Touring Injection |
—
|
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: Grand Touring Injection | Statement: [Volkswagen Golf GTI, GTIMeaning, Grand Touring Injection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GTIMeaning Context triple: [Volkswagen Golf GTI, GTIMeaning, Grand Touring Injection]
-
A.
tegMeaning
Indicates that one entity expresses, conveys, or stands for the meaning or semantic content of another entity.
-
B.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
-
C.
chantMeaning
Indicates that an entity performs or conveys the meaning or content of a chant in relation to another entity or context.
-
D.
apMeaning
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
-
E.
CISMeaning
Indicates that one concept, term, or symbol conveys, expresses, or stands for a particular meaning or interpretation 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6576b53a081908be86f12b54a1945 |
completed | May 2, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 6 a.m.