Triple

T8221150
Position Surface form Disambiguated ID Type / Status
Subject Fajardo E192062 entity
Predicate hasNearbyCay P19485 FINISHED
Object Lobos
Lobos is a small cay located off the coast of Fajardo, Puerto Rico, known for its clear waters and marine life.
E719165 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: Lobos | Statement: [Fajardo, hasNearbyCay, Lobos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobos
Context triple: [Fajardo, hasNearbyCay, Lobos]
  • A. Lobos
    Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
  • B. Lobos
    Lobos is the team nickname associated with pitcher Hunter Greene’s baseball team.
  • C. Lobos
    Lobos is the commonly used nickname for the Mexican football club Lobos BUAP, historically associated with the Benemérita Universidad Autónoma de Puebla.
  • D. Zorros
    Zorros is the popular nickname of Mexican football club Atlas F.C., referring to the team and its players.
  • E. Lobo
    Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
  • 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: Lobos
Triple: [Fajardo, hasNearbyCay, Lobos]
Generated description
Lobos is a small cay located off the coast of Fajardo, Puerto Rico, known for its clear waters and marine life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lobos
Target entity description: Lobos is a small cay located off the coast of Fajardo, Puerto Rico, known for its clear waters and marine life.
  • A. Lobos
    Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
  • B. Lobos
    Lobos is the team nickname associated with pitcher Hunter Greene’s baseball team.
  • C. Lobos
    Lobos is the commonly used nickname for the Mexican football club Lobos BUAP, historically associated with the Benemérita Universidad Autónoma de Puebla.
  • D. Zorros
    Zorros is the popular nickname of Mexican football club Atlas F.C., referring to the team and its players.
  • E. Lobo
    Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77c782a8819086019ab6bac05749 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee01ed9c819086bfc35e89f7bad8 completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.