Triple

T37167262
Position Surface form Disambiguated ID Type / Status
Subject Dirección de Inteligencia Policial E920822 entity
Predicate primaryRole P88 FINISHED
Object inteligencia policial
La inteligencia policial es la función especializada de las fuerzas de seguridad dedicada a recopilar, analizar y utilizar información para prevenir y combatir el delito y las amenazas a la seguridad pública.
E1802854 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: inteligencia policial | Statement: [Dirección de Inteligencia Policial, primaryRole, inteligencia policial]
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: inteligencia policial
Triple: [Dirección de Inteligencia Policial, primaryRole, inteligencia policial]
Generated description
La inteligencia policial es la función especializada de las fuerzas de seguridad dedicada a recopilar, analizar y utilizar información para prevenir y combatir el delito y las amenazas a la seguridad pública.

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_69f76ea16f288190b445aa1604d996f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb35c6d6b88190936b2b6fa6fd4f02 completed May 6, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bbc0db88190b2f1417698f3785d completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402c23c4e481908e808481ba088b5f completed June 27, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a40304ade9881909cdbe86d75532576 completed June 27, 2026, 8:19 p.m.
Created at: May 3, 2026, 4:15 p.m.