Triple
T21192424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R99 |
E522243
|
entity |
| Predicate | contextDependence |
P86671
|
FINISHED |
| Object | meaning depends on the specific project or product |
—
|
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: meaning depends on the specific project or product | Statement: [R99, contextDependence, meaning depends on the specific project or product]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextDependence Context triple: [R99, contextDependence, meaning depends on the specific project or product]
-
A.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
B.
contextSensitive
chosen
Indicates that the relationship or behavior depends on the surrounding context or situation rather than being fixed or absolute.
-
C.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
D.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
E.
contextName
Indicates the specific contextual label or identifier under which an entity, event, or relation is defined or interpreted.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73338dbe881908360dedad65c964b |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:07 p.m.