Triple
T26602761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal New Brunswick Regiment |
E667679
|
entity |
| Predicate | hasInfantryCapability |
P185621
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Royal New Brunswick Regiment, hasInfantryCapability, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfantryCapability Context triple: [Royal New Brunswick Regiment, hasInfantryCapability, true]
-
A.
warfareCapability
Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
-
B.
usesInfantryFightingVehicle
Indicates that an entity employs or operates an infantry fighting vehicle as part of its activities or operations.
-
C.
canCarryTroops
Indicates that an entity has the capability to transport troops from one location to another.
-
D.
hasFireMissionCapability
Indicates that an entity possesses the ability to plan, coordinate, or execute fire missions (such as artillery or indirect fire support) as part of combat operations.
-
E.
militaryCapabilityInvolved
Indicates that a military capability (such as forces, equipment, or operational assets) participates in or is implicated in a specific event, activity, or situation.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: April 27, 2026, 2:13 a.m.