Triple
T7428860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Eastern Railway |
E171434
|
entity |
| Predicate | zoneCode |
P58492
|
FINISHED |
| Object | SER |
E566421
|
NE 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: SER | Statement: [South Eastern Railway, zoneCode, SER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SER Context triple: [South Eastern Railway, zoneCode, SER]
-
A.
SER
chosen
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
-
B.
SR
SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
-
C.
SR
SR is the standard route designation used for numbered state highways within the Arizona State Highway System.
-
D.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
E.
SOR
SOR is an iterative numerical method used to accelerate the convergence of solving large systems of linear equations, particularly in scientific and engineering computations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3082f188190af5673d18ac7e87e |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.