Triple
T30802506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amiga Hunk format |
E784407
|
entity |
| Predicate | loadingModel |
P25802
|
FINISHED |
| Object | segmented hunks |
—
|
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: segmented hunks | Statement: [Amiga Hunk format, loadingModel, segmented hunks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadingModel Context triple: [Amiga Hunk format, loadingModel, segmented hunks]
-
A.
loader
Indicates a relationship where an entity is responsible for loading or placing items, data, or resources into another system, container, or context.
-
B.
loadingMechanism
chosen
Indicates the method or system by which something is loaded into or onto another object or structure.
-
C.
modelIn
Indicates that one entity serves as a representation or simulation of another entity.
-
D.
loadedWith
Indicates that one entity is carrying, filled with, or heavily supplied with another entity.
-
E.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6903c7bc48190b7c72ce16dd44987 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:42 p.m.