Triple

T21146420
Position Surface form Disambiguated ID Type / Status
Subject Universidad del Este E521067 entity
Predicate alternativeName P39 FINISHED
Object UNE
UNE is a university commonly known by its acronym for Universidad del Este, a higher education institution in Puerto Rico.
 E1469336 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: UNE | Statement: [Universidad del Este, alternativeName, UNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNE
Context triple: [Universidad del Este, alternativeName, UNE]
  • A. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • B. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • C. UN
    UN is the vehicle registration code for the German town of Unna in the state of North Rhine-Westphalia.
  • D. OUN
    OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
  • E. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • 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: UNE
Triple: [Universidad del Este, alternativeName, UNE]
Generated description
UNE is a university commonly known by its acronym for Universidad del Este, a higher education institution in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNE
Target entity description: UNE is a university commonly known by its acronym for Universidad del Este, a higher education institution in Puerto Rico.
  • A. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • B. UN
    The UN is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • C. UN
    UN is the vehicle registration code for the German town of Unna in the state of North Rhine-Westphalia.
  • D. OUN
    OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
  • E. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fdc25481909d6648e09b069c41 completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dc42b6c8190b71d50f9209b339a completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096e4d8a3c819087103e7c1090ee52 completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09724c35f881909d48c9dd212b3c12 completed May 17, 2026, 7:46 a.m.
Created at: April 16, 2026, 2:58 p.m.