Triple

T19927403
Position Surface form Disambiguated ID Type / Status
Subject Delisi E478960 entity
Predicate hasStationCode P1289 FINISHED
Object DEL
DEL is the station code for Delhi Junction railway station, one of the major and oldest railway hubs in Delhi, India.
 E1403150 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: DEL | Statement: [Delisi, hasStationCode, DEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DEL
Context triple: [Delisi, hasStationCode, DEL]
  • A. DEL
    DEL is Germany's top-tier professional ice hockey league, featuring the country's premier clubs and players.
  • B. DEL
    DEL is the IATA airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
  • C. DEL
    DEL is the vehicle registration code used on license plates for vehicles registered in the German city of Delmenhorst.
  • D. Del
    Del is a common shortened form of the given name Derek, often used as an informal or familiar nickname.
  • E. DEL 3
    DEL 3 is a United States Space Force unit, formally known as Space Delta 3, responsible for space electromagnetic warfare 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: DEL
Triple: [Delisi, hasStationCode, DEL]
Generated description
DEL is the station code for Delhi Junction railway station, one of the major and oldest railway hubs in Delhi, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DEL
Target entity description: DEL is the station code for Delhi Junction railway station, one of the major and oldest railway hubs in Delhi, India.
  • A. DEL
    DEL is Germany's top-tier professional ice hockey league, featuring the country's premier clubs and players.
  • B. DEL
    DEL is the IATA airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
  • C. DEL
    DEL is the vehicle registration code used on license plates for vehicles registered in the German city of Delmenhorst.
  • D. Del
    Del is a common shortened form of the given name Derek, often used as an informal or familiar nickname.
  • E. DEL 3
    DEL 3 is a United States Space Force unit, formally known as Space Delta 3, responsible for space electromagnetic warfare 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659cc1a448190aa98d4a66022457e completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6e1e0308190bdc79950739d83f3 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f8cbaab88190816f279bb29e27f2 completed May 16, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07f95e72788190ad4105dc21af48b6 completed May 16, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:53 p.m.