Triple
T1180324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPON |
E25120
|
entity |
| Predicate | usesEncapsulation |
P3097
|
FINISHED |
| Object | GEM |
—
|
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: GEM | Statement: [GPON, usesEncapsulation, GEM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEncapsulation Context triple: [GPON, usesEncapsulation, GEM]
-
A.
hasEnclosures
Indicates that an entity possesses or contains one or more enclosing structures, spaces, or bounded areas associated with it.
-
B.
isProtectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
usesElement
chosen
Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
-
D.
isProtectedFor
Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
-
E.
usesImplement
Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.