Triple

T9460786
Position Surface form Disambiguated ID Type / Status
Subject Sarikoli E228138 entity
Predicate ISO639-3 P208 FINISHED
Object srh
srh is the ISO 639-3 code for Sarikoli, an Eastern Iranian language spoken primarily by the Tajik ethnic minority in China’s Xinjiang region.
 E800923 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: srh | Statement: [Sarikoli, ISO639-3, srh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: srh
Context triple: [Sarikoli, ISO639-3, srh]
  • A. SAHR
    SAHR is an automotive safety system developed by Saab that automatically moves the head restraint forward and upward during a rear-end collision to reduce the risk of whiplash injuries.
  • B. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • C. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • D. SR
    SR is the standard route designation used for numbered state highways within the Arizona State Highway System.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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: srh
Triple: [Sarikoli, ISO639-3, srh]
Generated description
srh is the ISO 639-3 code for Sarikoli, an Eastern Iranian language spoken primarily by the Tajik ethnic minority in China’s Xinjiang region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: srh
Target entity description: srh is the ISO 639-3 code for Sarikoli, an Eastern Iranian language spoken primarily by the Tajik ethnic minority in China’s Xinjiang region.
  • A. SAHR
    SAHR is an automotive safety system developed by Saab that automatically moves the head restraint forward and upward during a rear-end collision to reduce the risk of whiplash injuries.
  • B. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • C. SR
    SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
  • D. SR
    SR is the standard route designation used for numbered state highways within the Arizona State Highway System.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d1245db2e48190a56a797a681316d9 completed April 4, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69d124c2a48c819098a24dd2aac734e1 completed April 4, 2026, 2:48 p.m.
Created at: March 30, 2026, 7:52 p.m.