Triple
T5816755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PS exam |
E129004
|
entity |
| Predicate | licensureSequencePosition |
P53670
|
FINISHED |
| Object | principles-and-practice stage of surveying licensure |
—
|
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: principles-and-practice stage of surveying licensure | Statement: [PS exam, licensureSequencePosition, principles-and-practice stage of surveying licensure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licensureSequencePosition Context triple: [PS exam, licensureSequencePosition, principles-and-practice stage of surveying licensure]
-
A.
positionOnLicensing
Indicates the stance, policy, or viewpoint an entity holds regarding licensing terms, rights, or practices.
-
B.
nrcLicenseNumber
Indicates that an entity is associated with a specific license number issued by the U.S. Nuclear Regulatory Commission (NRC).
-
C.
programSequenceNumber
chosen
Indicates the position or order of a program within a sequence or series of programs.
-
D.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational structure.
-
E.
sequenceInWork
Indicates that one work appears as a sequential part or installment within a larger overarching work.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.