Triple

T7017611
Position Surface form Disambiguated ID Type / Status
Subject Silchar railway station E162733 entity
Predicate hasStationCode P1289 FINISHED
Object SCL
SCL is the Indian Railways station code for Silchar railway station in Assam, India.
 E636352 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: SCL | Statement: [Silchar railway station, hasStationCode, SCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCL
Context triple: [Silchar railway station, hasStationCode, SCL]
  • A. SCL
    SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
  • B. CLSCL
    CLSCL is the UN/LOCODE identifier for the port and transport location of Santiago, Chile.
  • C. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • D. SCEL
    SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
  • E. SCT
    SCT is the Mexican federal government agency responsible for overseeing the country’s communications and transportation infrastructure and policies.
  • 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: SCL
Triple: [Silchar railway station, hasStationCode, SCL]
Generated description
SCL is the Indian Railways station code for Silchar railway station in Assam, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCL
Target entity description: SCL is the Indian Railways station code for Silchar railway station in Assam, India.
  • A. SCL
    SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
  • B. CLSCL
    CLSCL is the UN/LOCODE identifier for the port and transport location of Santiago, Chile.
  • C. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • D. SCEL
    SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
  • E. SCT
    SCT is the Mexican federal government agency responsible for overseeing the country’s communications and transportation infrastructure and policies.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e79c108190a507335e9dbf2716 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775656fe48190a9690f5aaca3ba4c completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7774e453881909df31386a911cfa4 completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c777d9c29c81908a816aed059ecc96 completed March 28, 2026, 6:40 a.m.
Created at: March 27, 2026, 2:34 p.m.