Triple
T3179907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNA |
E66557
|
entity |
| Predicate | archiveType |
P45685
|
FINISHED |
| Object | national archive |
—
|
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: national archive | Statement: [TNA, archiveType, national archive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archiveType Context triple: [TNA, archiveType, national archive]
-
A.
archivesType
Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
-
B.
archivesModel
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
-
C.
archivesHeldIn
Indicates that archival materials or records are stored, maintained, or preserved at a specified location or institution.
-
D.
operatesArchive
Indicates that one entity manages and runs the archival functions or facilities of another entity.
-
E.
archivesPeriod
Indicates that one entity serves as an archival record or repository for materials, information, or events associated with a specified time period.
- F. None of above. chosen
Provenance (4 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69f2d108190847922795e7b6687 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:06 p.m.