Triple

T22136691
Position Surface form Disambiguated ID Type / Status
Subject Deen Dayal Upadhyaya railway station E547047 entity
Predicate stationCode P1289 FINISHED
Object DDU
DDU is the station code for Deen Dayal Upadhyaya Junction, a major railway junction in Uttar Pradesh, India, on the Indian Railways network.
 E1522290 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: DDU | Statement: [Deen Dayal Upadhyaya railway station, stationCode, DDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDU
Context triple: [Deen Dayal Upadhyaya railway station, stationCode, DDU]
  • A. DDU
    DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
  • B. LDDU
    LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
  • C. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • D. DDC
    DDC is the Swiss Agency for Development and Cooperation, the Swiss government’s main body responsible for international development and humanitarian aid.
  • E. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • 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: DDU
Triple: [Deen Dayal Upadhyaya railway station, stationCode, DDU]
Generated description
DDU is the station code for Deen Dayal Upadhyaya Junction, a major railway junction in Uttar Pradesh, India, on the Indian Railways network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDU
Target entity description: DDU is the station code for Deen Dayal Upadhyaya Junction, a major railway junction in Uttar Pradesh, India, on the Indian Railways network.
  • A. DDU
    DDU is an engineering- and technology-focused university in Nadiad, Gujarat, India, offering a range of undergraduate and postgraduate programs.
  • B. LDDU
    LDDU is the ICAO airport code for Dubrovnik Airport, the main international airport serving Dubrovnik, Croatia.
  • C. DDC
    DDC is the Swiss Agency for Development and Cooperation, the Swiss government’s main body responsible for international development and humanitarian aid.
  • D. DDC
    DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
  • E. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96f52670819083932921a9148da8 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a9adfadc08190a1899173c557c054 completed May 18, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9b6566908190bd92f9b13f47f665 completed May 18, 2026, 4:53 a.m.
Created at: April 16, 2026, 8:32 p.m.