Triple

T3205752
Position Surface form Disambiguated ID Type / Status
Subject Sri Lanka Standard Time E67156 entity
Predicate abbreviation P43 FINISHED
Object SLST
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
E335759 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: SLST | Statement: [Sri Lanka Standard Time, abbreviation, SLST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLST
Context triple: [Sri Lanka Standard Time, abbreviation, SLST]
  • A. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • B. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • 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: SLST
Triple: [Sri Lanka Standard Time, abbreviation, SLST]
Generated description
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLST
Target entity description: SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • A. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • B. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • C. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. SL
    SL is the vehicle registration code used for the Austrian municipality of Anif in the state of Salzburg.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24cb0c5f0819083ea589ded12ef3b completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d2ce888819087cc7c3f5db0e859 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.