Triple
T4809648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagar |
E107035
|
entity |
| Predicate | educationHubFor |
P44021
|
FINISHED |
| Object | surrounding districts of Madhya Pradesh |
—
|
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: surrounding districts of Madhya Pradesh | Statement: [Sagar, educationHubFor, surrounding districts of Madhya Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationHubFor Context triple: [Sagar, educationHubFor, surrounding districts of Madhya Pradesh]
-
A.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
D.
educationProvision
chosen
Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
-
E.
seeksEducationFrom
Indicates that one entity pursues learning, training, or academic instruction from another entity as a source of education.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.