Triple

T12118482
Position Surface form Disambiguated ID Type / Status
Subject Sikar Junction E288627 entity
Predicate hasStationCode P1289 FINISHED
Object SIKR
SIKR is the Indian Railways station code for Sikar Junction railway station in Rajasthan, India.
 E962667 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: SIKR | Statement: [Sikar Junction, hasStationCode, SIKR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SIKR
Context triple: [Sikar Junction, hasStationCode, SIKR]
  • A. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. SiR
    SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
  • C. SICA
    SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
  • D. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • E. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • 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: SIKR
Triple: [Sikar Junction, hasStationCode, SIKR]
Generated description
SIKR is the Indian Railways station code for Sikar Junction railway station in Rajasthan, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SIKR
Target entity description: SIKR is the Indian Railways station code for Sikar Junction railway station in Rajasthan, India.
  • A. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • B. SiR
    SiR is an American R&B singer, songwriter, and producer known for his smooth, soulful sound and work with Top Dawg Entertainment.
  • C. SICA
    SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
  • D. SIN
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • E. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f682397c819085a86a98e079660b completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.