Triple
T23147292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Defence Estates Service |
E578226
|
entity |
| Predicate | hasCareerProgressionTo |
P151109
|
FINISHED |
| Object | Senior Administrative Grade |
—
|
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: Senior Administrative Grade | Statement: [Indian Defence Estates Service, hasCareerProgressionTo, Senior Administrative Grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCareerProgressionTo Context triple: [Indian Defence Estates Service, hasCareerProgressionTo, Senior Administrative Grade]
-
A.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
B.
hasProgressionSystem
Indicates that an entity includes or is associated with a structured system through which progress, advancement, or development can occur over time.
-
C.
careerSystem
Indicates a relationship where an entity is part of, governed by, or operates within a particular career-related system or framework.
-
D.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecee3808190aadc65c312f79f32 |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:01 p.m.