Triple
T708074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Gallery (Independence Hall) |
E14144
|
entity |
| Predicate | buildingFunctionContext |
P16394
|
FINISHED |
| Object | government-related activities |
—
|
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: government-related activities | Statement: [Long Gallery (Independence Hall), buildingFunctionContext, government-related activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingFunctionContext Context triple: [Long Gallery (Independence Hall), buildingFunctionContext, government-related activities]
-
A.
buildingComplex
Indicates a relationship where multiple buildings are grouped and function together as a single integrated complex.
-
B.
buildingSection
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
-
C.
hasBuildingFunction
chosen
Indicates that a building is used for or serves a particular function or purpose.
-
D.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
E.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.