Triple
T38592225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skill Rating |
E932479
|
entity |
| Predicate | trackedPer |
P192029
|
FINISHED |
| Object | role in role queue |
—
|
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: role in role queue | Statement: [Skill Rating, trackedPer, role in role queue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackedPer Context triple: [Skill Rating, trackedPer, role in role queue]
-
A.
trackedOn
Indicates that the subject’s status, activity, or changes are being monitored or recorded on the specified system, platform, or medium.
-
B.
trackingType
Indicates the method or category by which an entity’s movement, status, or progress is monitored or recorded.
-
C.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
trackAccess
Indicates that one entity monitors, records, or keeps a log of another entity’s access or usage of a resource.
-
E.
trackedSegment
Indicates that a specific segment or portion of something (such as a path, process, or sequence) is being monitored, recorded, or followed over time.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: May 3, 2026, 4:32 p.m.