Triple

T7239731
Position Surface form Disambiguated ID Type / Status
Subject Long Island University E155323 entity
Predicate alsoKnownAs P39 FINISHED
Object LIU
LIU is a private university system in New York known for its campuses in Brooklyn and Brookville and a wide range of undergraduate and graduate programs.
 E650863 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: LIU | Statement: [Long Island University, alsoKnownAs, LIU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LIU
Context triple: [Long Island University, alsoKnownAs, LIU]
  • A. LIU
    LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
  • B. Liu
    Liu is a common Chinese surname borne by numerous historical figures, political leaders, and cultural personalities across Chinese history.
  • C. Li
    Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
  • D. Li
    Li is a central Confucian concept referring to the proper rites, rituals, and norms of conduct that cultivate moral order and social harmony.
  • E. Liang
    Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
  • 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: LIU
Triple: [Long Island University, alsoKnownAs, LIU]
Generated description
LIU is a private university system in New York known for its campuses in Brooklyn and Brookville and a wide range of undergraduate and graduate programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LIU
Target entity description: LIU is a private university system in New York known for its campuses in Brooklyn and Brookville and a wide range of undergraduate and graduate programs.
  • A. LIU
    LIU is a major CERN project to modernize and enhance the performance of the injector accelerators that feed the Large Hadron Collider.
  • B. Liu
    Liu is a common Chinese surname borne by numerous historical figures, political leaders, and cultural personalities across Chinese history.
  • C. Li
    Li is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng.
  • D. Li
    Li is a central Confucian concept referring to the proper rites, rituals, and norms of conduct that cultivate moral order and social harmony.
  • E. Liang
    Liang is a common Chinese surname borne by numerous historical figures, scholars, and public personalities across the Chinese-speaking world.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7ce24f4148190877852983c9aadb5 completed March 28, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7ce9f73508190a2d1eb35237c3073 completed March 28, 2026, 12:50 p.m.
Created at: March 27, 2026, 2:55 p.m.