Triple

T6307998
Position Surface form Disambiguated ID Type / Status
Subject Amritsar Junction railway station E141426 entity
Predicate stationCode P1289 FINISHED
Object ASR
ASR is the Indian Railways station code for Amritsar Junction, a major railway hub in the city of Amritsar, Punjab.
E584755 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: ASR | Statement: [Amritsar Junction railway station, stationCode, ASR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASR
Context triple: [Amritsar Junction railway station, stationCode, ASR]
  • A. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • B. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • C. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • D. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • E. ALK
    ALK is the ICAO airline designator used to identify SriLankan Airlines in international aviation operations.
  • 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: ASR
Triple: [Amritsar Junction railway station, stationCode, ASR]
Generated description
ASR is the Indian Railways station code for Amritsar Junction, a major railway hub in the city of Amritsar, Punjab.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ASR
Target entity description: ASR is the Indian Railways station code for Amritsar Junction, a major railway hub in the city of Amritsar, Punjab.
  • A. Versoix
    Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
  • B. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • C. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • D. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • E. ALK
    ALK is the ICAO airline designator used to identify SriLankan Airlines in international aviation operations.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5ed89dbc88190abda05d9d06fb7b5 completed March 27, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee08cc488190baaafc1e679f83aa completed March 27, 2026, 2:40 a.m.
Created at: March 22, 2026, 4:28 p.m.