Triple
T36978270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Metropolitan |
E914754
|
entity |
| Predicate | fillingSystem |
P113788
|
FINISHED |
| Object | cartridge |
—
|
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: cartridge | Statement: [Pilot Metropolitan, fillingSystem, cartridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fillingSystem Context triple: [Pilot Metropolitan, fillingSystem, cartridge]
-
A.
hasFillingSystem
chosen
Indicates that an entity is equipped with or uses a particular filling system or mechanism.
-
B.
feederSystem
Indicates a system or mechanism that supplies or feeds resources, materials, or inputs into another process, component, or structure.
-
C.
fillsInteriorWith
Indicates that one entity occupies and completes the inside space or volume of another entity by putting something into its interior.
-
D.
refuellingSystem
Indicates a system or mechanism used to supply fuel from one entity to another.
-
E.
isTypicallyFilledWith
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.