Triple
T18644297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WR |
E455764
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Western Railway |
—
|
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: Western Railway | Statement: [WR, fullName, Western Railway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Western Railway Context triple: [WR, fullName, Western Railway]
-
A.
Western Railway
chosen
Western Railway is one of the major zones of Indian Railways, operating a key network of suburban and long-distance train services across western India.
-
B.
South Central Railway
South Central Railway is one of the zones of Indian Railways, responsible for operating and managing rail services across parts of southern and central India.
-
C.
Eastern Railway
Eastern Railway is one of the major zones of Indian Railways, operating extensive rail services primarily across eastern India.
-
D.
Northern Railway
Northern Railway is one of the largest zones of Indian Railways, overseeing extensive rail operations and infrastructure across northern India.
-
E.
Northern Railway
Northern Railway is a major rail network in Russia that serves the northern regions, including the Yamalo-Nenets Autonomous Okrug, supporting both passenger and freight transportation in harsh Arctic conditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.