Triple
T973634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mounted Unit |
E21000
|
entity |
| Predicate | hasEquipment |
P2728
|
FINISHED |
| Object | police horse tack |
—
|
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: police horse tack | Statement: [Mounted Unit, hasEquipment, police horse tack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquipment Context triple: [Mounted Unit, hasEquipment, police horse tack]
-
A.
usesEquipment
chosen
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
B.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
C.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
D.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
E.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b45f28f081908d41b2d7f353708d |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.