Triple

T3228899
Position Surface form Disambiguated ID Type / Status
Subject Chennai Egmore railway station E67688 entity
Predicate code P1537 FINISHED
Object MS
MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
 E338895 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: MS | Statement: [Chennai Egmore railway station, code, MS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MS
Context triple: [Chennai Egmore railway station, code, MS]
  • A. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • B. MS
    MS is the official vehicle registration code used on license plates for the German city of Münster.
  • C. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • D. MS
    MS is the two-letter IATA airline designator assigned to EgyptAir, the flag carrier of Egypt.
  • E. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • 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: MS
Triple: [Chennai Egmore railway station, code, MS]
Generated description
MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MS
Target entity description: MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • A. MS
    MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
  • B. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • C. MS
    MS is the official vehicle registration code used on license plates for the German city of Münster.
  • D. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • E. MS
    MS is the two-letter IATA airline designator assigned to EgyptAir, the flag carrier of Egypt.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb6f8588190a33a9d6c779e8992 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262675b588190bcff98e7fa3a0c77 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264c6022c81908b3235e88a7ed27f completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268bd0d3c8190a60dda0a9086c0cc completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.