Triple
T7892949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Reserve |
E183280
|
entity |
| Predicate | madeUpOf |
P14960
|
FINISHED |
| Object | trained civilians |
—
|
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: trained civilians | Statement: [Naval Reserve, madeUpOf, trained civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeUpOf Context triple: [Naval Reserve, madeUpOf, trained civilians]
-
A.
madeWith
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
B.
constitutedBy
chosen
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
C.
madeBy
Indicates that something is created, produced, or brought into existence by a particular agent or source.
-
D.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
E.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5 p.m.