Triple
T21227401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMSC |
E523117
|
entity |
| Predicate | roleInCallFlow |
P56496
|
FINISHED |
| Object | determines serving MSC for incoming calls |
—
|
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: determines serving MSC for incoming calls | Statement: [GMSC, roleInCallFlow, determines serving MSC for incoming calls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCallFlow Context triple: [GMSC, roleInCallFlow, determines serving MSC for incoming calls]
-
A.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
roleInIntegration
chosen
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
C.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
D.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
-
E.
roleInFrame
Indicates that an entity participates in a specific semantic frame by filling a particular role within that frame.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ac42a08190b95a24acf5f0779b |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.