Triple

T32013402
Position Surface form Disambiguated ID Type / Status
Subject Bedok E817467 entity
Predicate hasJuniorCollege P173113 FINISHED
Object Temasek Junior College
Temasek Junior College is a pre-university educational institution in Singapore known for its strong academic programs and vibrant co-curricular culture.
 E1988060 NE FINISHED

How this triple was built (3 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: Temasek Junior College | Statement: [Bedok, hasJuniorCollege, Temasek Junior College]
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: Temasek Junior College
Triple: [Bedok, hasJuniorCollege, Temasek Junior College]
Generated description
Temasek Junior College is a pre-university educational institution in Singapore known for its strong academic programs and vibrant co-curricular culture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasJuniorCollege
Context triple: [Bedok, hasJuniorCollege, Temasek Junior College]
  • A. isCollegiate
    Indicates that an entity is associated with or participates in a college-level institution, program, or context.
  • B. hasCollegeType
    Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
  • C. hasNotableHighSchool
    Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
  • D. isInCollege
    Indicates that a person is currently enrolled as a student at a college or university.
  • E. hasSingleHighSchool
    Indicates that an entity is associated with exactly one high school.
  • F. None of above. chosen

Provenance (7 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_69f348f9e5d081908cc3f57c4942af52 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b43932788190bff57095264a917d completed May 3, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb16944c88190aa1e57d93bcf9b34 completed June 14, 2026, 1:49 p.m.
NEDg Description generation batch_6a2ebe4bd03c81908b51036dd39f0ebf completed June 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a2ec04016088190a785f22cf8a091fe completed June 14, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
PDg Predicate description generation batch_69f6b21da77081908c5c015c4606d344 completed May 3, 2026, 2:25 a.m.
Created at: May 1, 2026, 12:15 a.m.