Triple

T12153295
Position Surface form Disambiguated ID Type / Status
Subject Alwar Junction E289510 entity
Predicate hasStationCode P1289 FINISHED
Object AWR
AWR is the Indian Railways station code for Alwar Junction railway station in Rajasthan, India.
 E966989 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: AWR | Statement: [Alwar Junction, hasStationCode, AWR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWR
Context triple: [Alwar Junction, hasStationCode, AWR]
  • A. AWRP
    AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • E. WAE
    WAE is the National Rail station code for Waterloo East railway station in London, England.
  • 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: AWR
Triple: [Alwar Junction, hasStationCode, AWR]
Generated description
AWR is the Indian Railways station code for Alwar Junction railway station in Rajasthan, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AWR
Target entity description: AWR is the Indian Railways station code for Alwar Junction railway station in Rajasthan, India.
  • A. AWRP
    AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • E. WAE
    WAE is the IATA airport code for Wadi ad-Dawasir Domestic Airport serving the town of Wadi ad-Dawasir in Saudi Arabia.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69aa2e88190aaa58468571d6dad completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.