Triple
T31952982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate Intelligence Committee report on CIA torture |
E815830
|
entity |
| Predicate | totalClassifiedLength |
P181171
|
FINISHED |
| Object | approximately 6,700 pages |
—
|
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: approximately 6,700 pages | Statement: [Senate Intelligence Committee report on CIA torture, totalClassifiedLength, approximately 6,700 pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalClassifiedLength Context triple: [Senate Intelligence Committee report on CIA torture, totalClassifiedLength, approximately 6,700 pages]
-
A.
lengthClass
Indicates a classification relationship where an entity is assigned to a category based on its length.
-
B.
commonTotalLength
Indicates that the entities share the same overall measured length.
-
C.
officialClassificationCount
Indicates the number of official classifications that have been assigned to an entity.
-
D.
totalSystemLength
Indicates the complete measured length of an entire system, aggregating all its relevant components or segments.
-
E.
classLength
Indicates the duration or length of time that a class session lasts.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
| PDg | Predicate description generation | batch_69f762651e088190baa21f25378a6065 |
completed | May 3, 2026, 2:57 p.m. |
Created at: May 1, 2026, 12:08 a.m.