Triple

T20213493
Position Surface form Disambiguated ID Type / Status
Subject Sealdah E493551 entity
Predicate hasStationCode P1289 FINISHED
Object SDAH
SDAH is the station code for Sealdah, one of the busiest and most important railway terminals in Kolkata, India.
 E1418477 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: SDAH | Statement: [Sealdah, hasStationCode, SDAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SDAH
Context triple: [Sealdah, hasStationCode, SDAH]
  • A. DAH
    DAH is the vehicle registration code used for motor vehicles registered in the rural district of Dachau in Bavaria, Germany.
  • B. MDAH
    MDAH is the state agency responsible for preserving, managing, and promoting Mississippi’s historical records, archives, and cultural heritage.
  • C. SDA
    SDA is a major Bosniak nationalist and conservative political party in Bosnia and Herzegovina, formally known as the Party of Democratic Action.
  • D. SDA
    SDA is the ICAO airline designator assigned to Sounds Air, a regional airline based in New Zealand.
  • E. SDA
    SDA is the standard abbreviation for the SD Association, the industry group that sets specifications for Secure Digital (SD) memory cards and related technologies.
  • 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: SDAH
Triple: [Sealdah, hasStationCode, SDAH]
Generated description
SDAH is the station code for Sealdah, one of the busiest and most important railway terminals in Kolkata, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SDAH
Target entity description: SDAH is the station code for Sealdah, one of the busiest and most important railway terminals in Kolkata, India.
  • A. DAH
    DAH is the vehicle registration code used for motor vehicles registered in the rural district of Dachau in Bavaria, Germany.
  • B. MDAH
    MDAH is the state agency responsible for preserving, managing, and promoting Mississippi’s historical records, archives, and cultural heritage.
  • C. SDA
    SDA is a major Bosniak nationalist and conservative political party in Bosnia and Herzegovina, formally known as the Party of Democratic Action.
  • D. SDA
    SDA is the ICAO airline designator assigned to Sounds Air, a regional airline based in New Zealand.
  • E. SDA
    SDA is the standard abbreviation for the SD Association, the industry group that sets specifications for Secure Digital (SD) memory cards and related technologies.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed6fe888190b553ba6879cb2d8d completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843f2768c8190b54054fc00c84332 completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0844fdbc888190bd3a9e02d5f9bcc2 completed May 16, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e241048190ba7fb657d4dca3d7 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.