Triple
T19844648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South East Central Railway |
E476827
|
entity |
| Predicate | zoneHeadTitle |
P137556
|
FINISHED |
| Object | General Manager |
—
|
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: General Manager | Statement: [South East Central Railway, zoneHeadTitle, General Manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneHeadTitle Context triple: [South East Central Railway, zoneHeadTitle, General Manager]
-
A.
titleSystem
Indicates that a system assigns or holds a formal title or designation for an entity.
-
B.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
C.
titleHolderApprentice
Indicates that one entity holds a title or position in the capacity of an apprentice to another entity.
-
D.
titleComponent
Indicates that one entity is a component or segment of the overall title associated with another entity.
-
E.
titleStart
Indicates that one entity’s title begins with the text or substring represented by the other 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658085a148190a305bde0897dfe84 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.