Triple
T3080788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poncol railway station |
E64250
|
entity |
| Predicate | hasBuildingStructure |
P44411
|
FINISHED |
| Object | at-grade |
—
|
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: at-grade | Statement: [Poncol railway station, hasBuildingStructure, at-grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingStructure Context triple: [Poncol railway station, hasBuildingStructure, at-grade]
-
A.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
B.
hasBuildingForm
chosen
Indicates that an entity possesses or is characterized by a particular architectural or structural building form.
-
C.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
D.
hasBuildingFunction
Indicates that a building is used for or serves a particular function or purpose.
-
E.
hasConstruction
Indicates that one entity possesses, contains, or is characterized by a particular construction, structure, or built form associated with it.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1aaf6d48190af4f9106965589b0 |
completed | March 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69ad9debb6308190be28378ae1fc98af |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.