Triple
T22122569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Drumclog |
E546707
|
entity |
| Predicate | primaryCovenanterForceType |
P65659
|
FINISHED |
| Object | armed conventiclers |
—
|
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: armed conventiclers | Statement: [Battle of Drumclog, primaryCovenanterForceType, armed conventiclers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCovenanterForceType Context triple: [Battle of Drumclog, primaryCovenanterForceType, armed conventiclers]
-
A.
primaryForce
Indicates that one entity serves as the main or dominant force acting upon, influencing, or driving another entity or process.
-
B.
isPrimaryLandForceOf
Indicates that a military land force serves as the main or principal ground combat component of a specified country, alliance, or organization.
-
C.
enemyForceType
Indicates that one entity is characterized as a hostile or opposing force of a specified type relative to another entity.
-
D.
garrisonForceType
Indicates the specific type or classification of military force assigned to occupy, defend, or maintain control of a particular location.
-
E.
CovenanterForcesIncluded
chosen
Indicates that the forces involved included or comprised Covenanter troops or military units.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297f3fb48190b6aaca18b40c37ab |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.