Triple

T38405064
Position Surface form Disambiguated ID Type / Status
Subject Universidad Nacional del Litoral E901002 entity
Predicate hasFaculty P141 FINISHED
Object Facultad de Ingeniería Química
La Facultad de Ingeniería Química es una unidad académica de la Universidad Nacional del Litoral especializada en la formación e investigación en ingeniería química y disciplinas afines.
E2268333 NE FINISHED

How this triple was built (2 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: Facultad de Ingeniería Química | Statement: [Universidad Nacional del Litoral, hasFaculty, Facultad de Ingeniería Química]
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: Facultad de Ingeniería Química
Triple: [Universidad Nacional del Litoral, hasFaculty, Facultad de Ingeniería Química]
Generated description
La Facultad de Ingeniería Química es una unidad académica de la Universidad Nacional del Litoral especializada en la formación e investigación en ingeniería química y disciplinas afines.

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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd5d27b48190aad0e9aba88a48d7 completed May 7, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2bb05888190accef3685f0b3eea completed June 28, 2026, 11:48 p.m.
NEDg Description generation batch_6a41b67584c48190840b9d38b56b44d8 completed June 29, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a41b6ff98248190a5f18ded2db2295e completed June 29, 2026, 12:06 a.m.
Created at: May 3, 2026, 4:31 p.m.