Triple
T27939856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guntur railway division |
E700710
|
entity |
| Predicate | hasNeighbouringRailwayDivision |
P168028
|
FINISHED |
| Object | Vijayawada railway division |
—
|
NE NERFINISHED |
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: Vijayawada railway division | Statement: [Guntur railway division, hasNeighbouringRailwayDivision, Vijayawada railway division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringRailwayDivision Context triple: [Guntur railway division, hasNeighbouringRailwayDivision, Vijayawada railway division]
-
A.
hasNeighbouringDivision
chosen
Indicates that one division is directly adjacent to and shares a boundary with another division.
-
B.
railwayDivision
Indicates that one administrative railway division is responsible for, manages, or encompasses another railway unit, line, or area within a rail network.
-
C.
hasBorderRailwayStationWith
Indicates that two regions share a common border at which there is a railway station connecting or serving both sides.
-
D.
railwayDivisionHeadquartersOf
Indicates that one location serves as the administrative headquarters for a specified railway division.
-
E.
hasBorderRailConnectionWith
Indicates that two places are directly connected to each other by a cross-border railway line or service.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 27, 2026, 7:17 p.m.