Triple
T5856013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Portrait Gallery |
E130153
|
entity |
| Predicate | hasPermanentBuildingSince |
P58830
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [National Portrait Gallery, hasPermanentBuildingSince, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPermanentBuildingSince Context triple: [National Portrait Gallery, hasPermanentBuildingSince, 2008]
-
A.
hasBuildingPeriod
Indicates that a building or structure is associated with a specific time period during which it was constructed or significantly developed.
-
B.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
C.
rebuiltAsPermanentStructure
chosen
Indicates that something previously temporary or provisional has been reconstructed or replaced as a lasting, permanent structure.
-
D.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
E.
hasOriginalBuildings
Indicates that an entity possesses or still retains its initial or historically first-constructed buildings.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.