Triple
T14988621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varvarin |
E373770
|
entity |
| Predicate | secondaryEducationAccess |
P116238
|
FINISHED |
| Object | nearby towns |
—
|
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: nearby towns | Statement: [Varvarin, secondaryEducationAccess, nearby towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryEducationAccess Context triple: [Varvarin, secondaryEducationAccess, nearby towns]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
C.
educationStandard
Indicates that an entity adheres to, is governed by, or is evaluated according to a specified educational benchmark, guideline, or required level of learning.
-
D.
secondaryStages
Indicates that one or more stages occur as subsequent or follow-up phases relative to an initial or primary stage in a process or sequence.
-
E.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:53 a.m.