Triple

T15120597
Position Surface form Disambiguated ID Type / Status
Subject Sibu E361159 entity
Predicate hasEducationalInstitution P113 FINISHED
Object SMK St Elizabeth
SMK St Elizabeth is a secondary school located in Sibu, Sarawak, Malaysia, known for providing education to local students.
 E1140322 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: SMK St Elizabeth | Statement: [Sibu, hasEducationalInstitution, SMK St Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMK St Elizabeth
Context triple: [Sibu, hasEducationalInstitution, SMK St Elizabeth]
  • A. SMK Sacred Heart
    SMK Sacred Heart is a secondary school located in Sibu, Sarawak, Malaysia.
  • B. SMK Keningau
    SMK Keningau is a secondary school located in the town of Keningau in Sabah, Malaysia.
  • C. St. Marcellinus Secondary School
    St. Marcellinus Secondary School is a Catholic high school in Mississauga, Ontario, known for its strong athletics program and for producing NBA player RJ Barrett.
  • D. St Mary’s Secondary School
    St Mary’s Secondary School is a post-primary educational institution located in Ballina, County Mayo, Ireland.
  • E. Mosta Secondary School
    Mosta Secondary School is a coeducational state secondary school located in the town of Mosta, Malta, serving students from the surrounding central region.
  • 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: SMK St Elizabeth
Triple: [Sibu, hasEducationalInstitution, SMK St Elizabeth]
Generated description
SMK St Elizabeth is a secondary school located in Sibu, Sarawak, Malaysia, known for providing education to local students.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMK St Elizabeth
Target entity description: SMK St Elizabeth is a secondary school located in Sibu, Sarawak, Malaysia, known for providing education to local students.
  • A. SMK Sacred Heart
    SMK Sacred Heart is a secondary school located in Sibu, Sarawak, Malaysia.
  • B. SMK Keningau
    SMK Keningau is a secondary school located in the town of Keningau in Sabah, Malaysia.
  • C. St. Marcellinus Secondary School
    St. Marcellinus Secondary School is a Catholic high school in Mississauga, Ontario, known for its strong athletics program and for producing NBA player RJ Barrett.
  • D. St Mary’s Secondary School
    St Mary’s Secondary School is a post-primary educational institution located in Ballina, County Mayo, Ireland.
  • E. Mosta Secondary School
    Mosta Secondary School is a coeducational state secondary school located in the town of Mosta, Malta, serving students from the surrounding central region.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe3fe0081909d9d3a293373254b completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1e767d481908ea9d265d9ccfee8 completed May 9, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69fec25d50548190a056d6bb1297e780 completed May 9, 2026, 5:13 a.m.
Created at: April 10, 2026, 3:06 a.m.