Triple

T6932882
Position Surface form Disambiguated ID Type / Status
Subject Shela Bagh E160479 entity
Predicate hasStationCode P1289 FINISHED
Object SHLG
SHLG is the Indian Railways station code for Shela Bagh railway station in India.
 E629112 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: SHLG | Statement: [Shela Bagh, hasStationCode, SHLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SHLG
Context triple: [Shela Bagh, hasStationCode, SHLG]
  • A. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • B. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • C. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • D. SLD
    SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
  • E. SLD
    SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
  • 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: SHLG
Triple: [Shela Bagh, hasStationCode, SHLG]
Generated description
SHLG is the Indian Railways station code for Shela Bagh railway station in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SHLG
Target entity description: SHLG is the Indian Railways station code for Shela Bagh railway station in India.
  • A. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • B. SH
    SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
  • C. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • D. SLD
    SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
  • E. SLD
    SLD is the National Rail station code for Salford Crescent railway station in Greater Manchester, England.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da3fa7fc8190a03e7132871a9af4 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514b0dd8819097a3fa1a38c913f4 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c75280eaa4819089b5e76a817b1330 completed March 28, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_69c75306e62c8190ba2f4db741bd1ff9 completed March 28, 2026, 4:03 a.m.
Created at: March 27, 2026, 2:27 p.m.