Triple
T23317181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roanoke station |
E590740
|
entity |
| Predicate | hasShelterStructure |
P3789
|
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: [Roanoke station, hasShelterStructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelterStructure Context triple: [Roanoke station, hasShelterStructure, yes]
-
A.
hasShelters
chosen
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
B.
shelterType
Indicates the kind or category of shelter associated with an entity (e.g., tent, house, bunker).
-
C.
hasPermanentStructures
Indicates that one entity possesses or contains long-lasting, fixed physical structures associated with it.
-
D.
hasNearbySanctuary
Indicates that one entity has a sanctuary or place of refuge located close to it in space or distance.
-
E.
hasBuildingUnderCare
Indicates that an entity is responsible for the maintenance, management, or oversight of a particular building.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197828c408190ae071624e40de4cc |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:06 p.m.