Triple
T5016924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Health app |
E112758
|
entity |
| Predicate | integratesWithSoftware |
P16507
|
FINISHED |
| Object | third-party health and fitness apps |
—
|
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: third-party health and fitness apps | Statement: [Health app, integratesWithSoftware, third-party health and fitness apps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesWithSoftware Context triple: [Health app, integratesWithSoftware, third-party health and fitness apps]
-
A.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
B.
integratedIn
Indicates that one entity is incorporated as a component or part within a larger system, structure, or context represented by another entity.
-
C.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
D.
typeOfIntegration
Indicates the specific kind or category of integration that exists or is applied between systems, components, or processes.
-
E.
integratesService
chosen
Indicates that one entity connects with and enables the functionality of another service so they work together as a unified system.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd734037a88190a950db814412a023 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.