Triple
T34460342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saharsa Junction |
E884619
|
entity |
| Predicate | codeUsedBy |
P178967
|
FINISHED |
| Object | Indian Railways |
—
|
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: Indian Railways | Statement: [Saharsa Junction, codeUsedBy, Indian Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeUsedBy Context triple: [Saharsa Junction, codeUsedBy, Indian Railways]
-
A.
libraryUsed
Indicates that one entity makes use of another entity as a software or code library to provide functionality or services.
-
B.
theoryUsed
Indicates that one entity applies, relies on, or is based upon a particular theory in its reasoning, explanation, or methodology.
-
C.
usedByProgram
Indicates that a particular resource, component, or element is utilized or consumed by a specific program.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
usedByTool
Indicates that a particular tool is employed or operated by a specified agent or 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.