Triple
T27737596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.RuntimeType |
E697566
|
entity |
| Predicate | isInternal |
P166455
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [System.RuntimeType, isInternal, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInternal Context triple: [System.RuntimeType, isInternal, true]
-
A.
hasInternal
Indicates that one entity contains another entity within its internal structure or boundaries.
-
B.
isInternalUnitOf
Indicates that one unit functions as a subordinate or component part within the organizational structure of another unit.
-
C.
isInternalVersionOf
Indicates that one entity is an internal or non-public variant, edition, or build of another entity.
-
D.
usedInternally
Indicates that something is utilized within an organization, system, or component itself rather than being exposed or provided for external use.
-
E.
isInternalAward
Indicates that an award is given within an organization or institution, rather than by an external body.
- F. None of above. chosen
Provenance (4 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 3:13 p.m.