Triple
T13156447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Paddington station |
E312600
|
entity |
| Predicate | hasGradeListing |
P108819
|
FINISHED |
| Object | Grade I listed building |
—
|
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: Grade I listed building | Statement: [London Paddington station, hasGradeListing, Grade I listed building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradeListing Context triple: [London Paddington station, hasGradeListing, Grade I listed building]
-
A.
hasGrades
Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
-
B.
hasGradesOrClasses
Indicates that an entity is associated with academic evaluations or enrolled instructional sessions, such as grades received or classes taken.
-
C.
hasGradeCount
Indicates a relationship where an entity is associated with the number of grades it has or has received.
-
D.
offersGrades
Indicates that one entity provides or assigns academic grades to another entity.
-
E.
hasPossibleGrades
Indicates that an entity is associated with a set or list of grades that it can potentially receive.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:12 p.m.