Triple
T17420612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Eastern Railway zone |
E423601
|
entity |
| Predicate | railwayCode |
P18202
|
FINISHED |
| Object |
NER
NER is the abbreviation for the North Eastern Railway zone of Indian Railways, which operates and manages rail services in parts of northern and eastern India.
|
E1268194
|
NE FINISHED |
How this triple was built (4 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: NER | Statement: [North Eastern Railway zone, railwayCode, NER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NER Context triple: [North Eastern Railway zone, railwayCode, NER]
-
A.
NER
NER is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of Niger.
-
B.
NER
NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
-
C.
NEL
NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
-
D.
NEL
NEL is the Polish vehicle registration code assigned to the Ełk region in northeastern Poland.
-
E.
NE
NE is the Swiss vehicle registration code for the canton of Neuchâtel.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NER Triple: [North Eastern Railway zone, railwayCode, NER]
Generated description
NER is the abbreviation for the North Eastern Railway zone of Indian Railways, which operates and manages rail services in parts of northern and eastern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NER Target entity description: NER is the abbreviation for the North Eastern Railway zone of Indian Railways, which operates and manages rail services in parts of northern and eastern India.
-
A.
NER
NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
-
B.
NER
NER is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of Niger.
-
C.
NEL
NEL is the Polish vehicle registration code assigned to the Ełk region in northeastern Poland.
-
D.
NEL
NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
-
E.
NE
NE is the Swiss vehicle registration code for the canton of Neuchâtel.
- F. None of above. chosen
Provenance (5 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a8041f548190a076b10516ccfced |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a8d7e05c8190aceb0795a430fee7 |
completed | May 11, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a943fdec8190a875c7eb56c742da |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:46 a.m.