Triple
T6254398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Education Day in India |
E140124
|
entity |
| Predicate | activitiesInclude |
P81
|
FINISHED |
| Object | seminars on education |
—
|
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: seminars on education | Statement: [National Education Day in India, activitiesInclude, seminars on education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activitiesInclude Context triple: [National Education Day in India, activitiesInclude, seminars on education]
-
A.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
coordinatesActivitiesOf
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
C.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
-
D.
activity
chosen
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
E.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063625608819081f5422112c80ce5 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.