Triple
T12674296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court chamber (former) |
E302764
|
entity |
| Predicate | buildingTypeOfContainer |
P1844
|
FINISHED |
| Object | state capitol building |
—
|
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: state capitol building | Statement: [Supreme Court chamber (former), buildingTypeOfContainer, state capitol building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingTypeOfContainer Context triple: [Supreme Court chamber (former), buildingTypeOfContainer, state capitol building]
-
A.
containerType
Indicates the specific kind or category of container associated with or used to hold an entity.
-
B.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
typeOfHaulage
Indicates the kind or category of haulage service or transport operation associated with an entity.
-
D.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
-
E.
airTransportableBy
Indicates that something can be transported or carried by air using a specific aircraft or air transport method.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961af991c8190b6079cb57e593b8f |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.