Triple
T863077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Naseby |
E18639
|
entity |
| Predicate | ParliamentarianForceStrength |
P20428
|
FINISHED |
| Object | approximately 13,000–14,000 men |
—
|
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 13,000–14,000 men | Statement: [Battle of Naseby, ParliamentarianForceStrength, approximately 13,000–14,000 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ParliamentarianForceStrength Context triple: [Battle of Naseby, ParliamentarianForceStrength, approximately 13,000–14,000 men]
-
A.
parliamentaryHouse
Indicates that one entity functions as a parliamentary chamber or house within the legislative system of another entity.
-
B.
parliamentaryGroup
Indicates that an entity is a parliamentary group (or caucus) with which another political actor, such as a legislator or party, is affiliated or associated.
-
C.
parliamentName
Indicates the official name assigned to a particular parliament.
-
D.
parliamentComponents
Indicates that one entity is a component or constituent part of a parliamentary body.
-
E.
typeOfParliamentaryBody
Indicates the specific kind or classification of a parliamentary body that an entity represents (e.g., lower house, upper house, unicameral chamber).
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac67d4d481909487d3edb3e46936 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa86065881909d477e26fdd84d45 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab797b1081908f034d216649bb83 |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:39 p.m.