Triple
T7691689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administrative Panel |
E174261
|
entity |
| Predicate | panelCategory |
P87
|
FINISHED |
| Object | administrative and social services |
—
|
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: administrative and social services | Statement: [Administrative Panel, panelCategory, administrative and social services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panelCategory Context triple: [Administrative Panel, panelCategory, administrative and social services]
-
A.
panelDivision
Indicates a relationship where a larger panel or board is divided into smaller sections or segments.
-
B.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
C.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
D.
settingCategory
Indicates the classification or type of context in which something is set or configured (e.g., grouping settings under a common category).
-
E.
categoryStructure
Indicates the hierarchical or organizational relationship that defines how categories are structured and arranged relative to one another.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.