Triple

T14281244
Position Surface form Disambiguated ID Type / Status
Subject Judiciary Police E354051 entity
Predicate shortName P43 FINISHED
Object PJ
PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
E1089056 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: PJ | Statement: [Judiciary Police, shortName, PJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PJ
Context triple: [Judiciary Police, shortName, PJ]
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PJ
    PJ is the common abbreviation for the Argentine Justicialist Party, a major Peronist political party in Argentina.
  • D. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • E. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • 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: PJ
Triple: [Judiciary Police, shortName, PJ]
Generated description
PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PJ
Target entity description: PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
  • A. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • B. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • C. PJ
    PJ is the common abbreviation for the Argentine Justicialist Party, a major Peronist political party in Argentina.
  • D. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • E. Pu
    Pu is a Chinese surname historically borne by various notable figures and families in China.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.