Triple
T17271161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cracker Line |
E419260
|
entity |
| Predicate | suppliedItems |
P105675
|
FINISHED |
| Object | food rations |
—
|
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: food rations | Statement: [Cracker Line, suppliedItems, food rations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppliedItems Context triple: [Cracker Line, suppliedItems, food rations]
-
A.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
B.
suppliedAs
Indicates that one entity is provided, delivered, or made available in the form, role, or capacity of another entity.
-
C.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
-
D.
suppliedMaterialType
chosen
Indicates the type or category of material that is provided or supplied in a given context.
-
E.
equipmentIncludes
Indicates that one entity contains, comprises, or has as part of its set of items a specified piece or set of equipment.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4a3c4c81908a28c9f8bdf648ca |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.