Triple
T6601241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Assault on Reason |
E149002
|
entity |
| Predicate | placesInTime |
P41036
|
FINISHED |
| Object | post-9/11 United States |
—
|
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: post-9/11 United States | Statement: [The Assault on Reason, placesInTime, post-9/11 United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placesInTime Context triple: [The Assault on Reason, placesInTime, post-9/11 United States]
-
A.
historicalLocationOf
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
-
B.
locatedInHistoricPeriod
chosen
Indicates that an entity exists, occurs, or is situated within a specific historic period or era.
-
C.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
D.
regionHistory
Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
-
E.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.