Triple
T26275707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malton GO Station |
E660560
|
entity |
| Predicate | hasHeatedShelter |
P81066
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Malton GO Station, hasHeatedShelter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatedShelter Context triple: [Malton GO Station, hasHeatedShelter, yes]
-
A.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
B.
hasPlatformHeaters
chosen
Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
-
C.
hasHeatSensingPits
Indicates that an entity possesses specialized heat-sensing pit organs used to detect thermal radiation from other objects or organisms.
-
D.
hasThermalEstablishment
Indicates that one entity is responsible for creating, setting, or defining the thermal conditions or temperature state of another entity.
-
E.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 26, 2026, 9:55 p.m.