Triple

T18576394
Position Surface form Disambiguated ID Type / Status
Subject Belarusian human rights movement E453998 entity
Predicate hasPart P35 FINISHED
Object Lawtrend
Lawtrend is a Belarusian human rights organization focused on promoting civil liberties, legal reform, and support for civil society within Belarus.
 E1331625 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: Lawtrend | Statement: [Belarusian human rights movement, hasPart, Lawtrend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawtrend
Context triple: [Belarusian human rights movement, hasPart, Lawtrend]
  • A. Law Com
    Law Com is the abbreviated name commonly used for the Law Commission, the independent body that reviews and recommends reforms to the law in England and Wales.
  • B. Legal Information Institute
    The Legal Information Institute is a pioneering online legal resource that provides free access to U.S. laws, court opinions, and other legal materials to the public.
  • C. LAW
    LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
  • D. The Law
    The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
  • E. The Law
    The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
  • 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: Lawtrend
Triple: [Belarusian human rights movement, hasPart, Lawtrend]
Generated description
Lawtrend is a Belarusian human rights organization focused on promoting civil liberties, legal reform, and support for civil society within Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawtrend
Target entity description: Lawtrend is a Belarusian human rights organization focused on promoting civil liberties, legal reform, and support for civil society within Belarus.
  • A. Law Com
    Law Com is the abbreviated name commonly used for the Law Commission, the independent body that reviews and recommends reforms to the law in England and Wales.
  • B. Legal Information Institute
    The Legal Information Institute is a pioneering online legal resource that provides free access to U.S. laws, court opinions, and other legal materials to the public.
  • C. LAW
    LAW is the IATA airport code for Lawton–Fort Sill Regional Airport in Lawton, Oklahoma, United States.
  • D. The Law
    The Law is a prominent volcanic plug and hill in Dundee, Scotland, offering panoramic views over the city and the River Tay.
  • E. The Law
    The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c9d26c8190a80dda411cd0c9ac completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f888bffc819083c8ea4490a53e57 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f934be088190916350d9209c1d7d completed May 13, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9cbff948190ab189a933a1f7e6d completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:43 a.m.