Triple
T37791906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sector Policies and Programs Division |
E942106
|
entity |
| Predicate | sectorApproach |
P100631
|
FINISHED |
| Object | developing regulations tailored to specific industries |
—
|
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: developing regulations tailored to specific industries | Statement: [Sector Policies and Programs Division, sectorApproach, developing regulations tailored to specific industries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorApproach Context triple: [Sector Policies and Programs Division, sectorApproach, developing regulations tailored to specific industries]
-
A.
industryApproach
chosen
Indicates the method, strategy, or way in which an industry addresses, handles, or engages with a particular subject or activity.
-
B.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
C.
sectorPreparation
Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
-
D.
sectoralExample
Indicates that something serves as a representative or illustrative example within a particular sector or industry context.
-
E.
sectoralEngagement
Indicates engagement or involvement between entities within a specific sector or industry context.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.