Triple
T6327744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Kinematic Positioning |
E141899
|
entity |
| Predicate | requiresInitialization |
P70872
|
FINISHED |
| Object | ambiguity fixing period |
—
|
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: ambiguity fixing period | Statement: [Real-time Kinematic Positioning, requiresInitialization, ambiguity fixing period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresInitialization Context triple: [Real-time Kinematic Positioning, requiresInitialization, ambiguity fixing period]
-
A.
requiresInstallation
Indicates that one entity must be installed or set up before the other can be used or become operational.
-
B.
usesInitSystem
Indicates that one entity employs or is based on a particular initialization (init) system to start and manage services or processes.
-
C.
requiresConfiguration
Indicates that one entity depends on another to be set up or configured before it can function or be used.
-
D.
requiresTraining
Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
-
E.
hasInitial
Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:29 p.m.