Triple
T23281498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation CHAOS |
E588874
|
entity |
| Predicate | archivesOrRecords |
P151659
|
FINISHED |
| Object | files on hundreds of thousands of individuals |
—
|
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: files on hundreds of thousands of individuals | Statement: [Operation CHAOS, archivesOrRecords, files on hundreds of thousands of individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archivesOrRecords Context triple: [Operation CHAOS, archivesOrRecords, files on hundreds of thousands of individuals]
-
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.
archiveOf
Indicates that one entity serves as a stored collection or repository preserving the records, documents, or materials of another entity.
-
C.
archivesHeldIn
Indicates that archival materials or records are stored, maintained, or preserved at a specified location or institution.
-
D.
archivesModel
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
-
E.
archiveFor
Indicates that one entity serves as a storage or preservation repository specifically for the records, documents, or data of another entity.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19643b8908190a2c29552b272dc61 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:57 p.m.