Triple
T30735264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1860 Republican National Convention |
E782534
|
entity |
| Predicate | hostBuildingType |
P77240
|
FINISHED |
| Object | convention hall |
—
|
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: convention hall | Statement: [1860 Republican National Convention, hostBuildingType, convention hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostBuildingType Context triple: [1860 Republican National Convention, hostBuildingType, convention hall]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
hostBuilding
chosen
Indicates that one entity serves as the building or physical structure that houses, contains, or accommodates another entity.
-
C.
intendedBuildingType
Indicates the type of building that something is planned or designed to be.
-
D.
originalBuildingType
Indicates the type or category of building that something was initially constructed or designated to be, before any later changes or repurposing.
-
E.
containsBuildingType
Indicates that a location or area includes at least one building of the specified type.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68ee6761c8190af4e8de4f75b928b |
completed | May 2, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:37 p.m.