Triple

T6085635
Position Surface form Disambiguated ID Type / Status
Subject South Eastern Railway E135631 entity
Predicate abbreviation P43 FINISHED
Object SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
E566421 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: SER | Statement: [South Eastern Railway, abbreviation, SER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SER
Context triple: [South Eastern Railway, abbreviation, SER]
  • A. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • B. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • C. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • D. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • 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: SER
Triple: [South Eastern Railway, abbreviation, SER]
Generated description
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SER
Target entity description: SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
  • A. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • B. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • C. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • D. SE
    SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
  • E. SE
    SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057891dc88190997c4e32b2261fb3 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d60e824819098a9f5fc5cc00be4 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:12 p.m.