Triple
T18511655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Host |
E452355
|
entity |
| Predicate | associatedWithRepressionType |
P108331
|
FINISHED |
| Object | dragooning |
—
|
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: dragooning | Statement: [Highland Host, associatedWithRepressionType, dragooning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRepressionType Context triple: [Highland Host, associatedWithRepressionType, dragooning]
-
A.
associatedWithRegime
Indicates a relationship where an entity is linked or connected to a particular regime, such as a political, governmental, or ruling system.
-
B.
notableRepressionEvent
chosen
Indicates a significant instance in which an entity engaged in or experienced systematic repression, such as suppression of rights, freedoms, or dissent.
-
C.
associatedWithPrisonProtest
Indicates a relationship where an entity is connected to, involved in, or linked with a protest occurring within or related to a prison context.
-
D.
restraintType
Indicates the specific kind or method of restraint applied in a given situation or relationship.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334640888190bd44bc15e97822d3 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.