Triple
T758158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historic American Buildings Survey |
E16003
|
entity |
| Predicate | collectionAvailableAs |
P1395
|
FINISHED |
| Object | public domain |
—
|
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: public domain | Statement: [Historic American Buildings Survey, collectionAvailableAs, public domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionAvailableAs Context triple: [Historic American Buildings Survey, collectionAvailableAs, public domain]
-
A.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
B.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
-
C.
availableAs
chosen
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
D.
collectionScope
Indicates the extent, boundaries, or range over which a collection (such as a set of items, data, or resources) is defined or intended to apply.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66c2e108190a754c60d2eac6676 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.