Triple
T29846229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Fort William (1746) |
E757934
|
entity |
| Predicate | hadBelligerent |
P10155
|
FINISHED |
| Object | Jacobite forces |
—
|
NE NERFINISHED |
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: Jacobite forces | Statement: [Siege of Fort William (1746), hadBelligerent, Jacobite forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadBelligerent Context triple: [Siege of Fort William (1746), hadBelligerent, Jacobite forces]
-
A.
belligerentAgainst
Indicates a hostile or aggressive stance, conflict, or antagonistic behavior directed by one entity against another.
-
B.
belligerentFor
Indicates a relationship in which one entity is engaged in hostile or aggressive behavior toward, or in conflict with, another entity.
-
C.
conflictBelligerent
chosen
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
-
D.
belligerentObjective
Indicates that an entity is the target or objective of hostile or warlike actions by another entity.
-
E.
belligerentShift
Indicates a change in state or behavior where an entity becomes hostile, aggressive, or combative toward another.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676438624819086aabd1b6e5fef4c |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:42 p.m.