Triple
T37470173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Dark Beyond |
E931132
|
entity |
| Predicate | typeOfSpace |
P77125
|
FINISHED |
| Object | physical reality |
—
|
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: physical reality | Statement: [Great Dark Beyond, typeOfSpace, physical reality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSpace Context triple: [Great Dark Beyond, typeOfSpace, physical reality]
-
A.
spaceType
chosen
Indicates the category or kind of physical or conceptual space associated with an entity.
-
B.
typeOfBuildingSpace
Indicates the specific kind or category of building space that an entity represents or occupies.
-
C.
openSpaceType
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
D.
typeOfHall
Indicates the specific category or kind to which a particular hall belongs (e.g., lecture hall, dining hall, concert hall).
-
E.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a036c1282748190a820562bcd9aa5d9 |
completed | May 12, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_6a036bb5ca0c8190bd50abc197960b41 |
completed | May 12, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:17 p.m.