Triple
T16091676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DL-44 heavy blaster pistol |
E390371
|
entity |
| Predicate | propModification |
P43320
|
FINISHED |
| Object | added scope |
—
|
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: added scope | Statement: [DL-44 heavy blaster pistol, propModification, added scope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propModification Context triple: [DL-44 heavy blaster pistol, propModification, added scope]
-
A.
changesProperty
Indicates that one entity causes a change in a specific property or attribute of another entity.
-
B.
modification
chosen
Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
-
C.
leafModification
Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
-
D.
laterModification
Indicates that one entity is a modification or revision that occurs after another in time.
-
E.
typicalRuleModification
Indicates a change made to a standard or default rule, adjusting how that rule normally applies or operates.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.