Triple

T7834612
Position Surface form Disambiguated ID Type / Status
Subject Jodhpur Junction railway station E181659 entity
Predicate stationCode P1289 FINISHED
Object JU
JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
 E696020 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: JU | Statement: [Jodhpur Junction railway station, stationCode, JU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JU
Context triple: [Jodhpur Junction railway station, stationCode, JU]
  • A. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • B. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • C. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • D. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • E. Juh
    Juh was a prominent Chiricahua Apache chief and war leader who played a key role in resisting U.S. and Mexican military forces during the Apache Wars.
  • 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: JU
Triple: [Jodhpur Junction railway station, stationCode, JU]
Generated description
JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JU
Target entity description: JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • D. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • E. Juh
    Juh was a prominent Chiricahua Apache chief and war leader who played a key role in resisting U.S. and Mexican military forces during the Apache Wars.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064b872081908e269f4fe1b85436 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a9b7bb081909d6aa066ee064093 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb5ded0284819086c40a379b52a5bd completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:45 p.m.