Triple

T9934518
Position Surface form Disambiguated ID Type / Status
Subject Résidence Palace E192725 entity
Predicate hasPart P35 FINISHED
Object Bloc D
Bloc D is a section of the Résidence Palace complex in Brussels, which houses part of the European Union’s institutional facilities.
 E832827 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: Bloc D | Statement: [Résidence Palace, hasPart, Bloc D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bloc D
Context triple: [Résidence Palace, hasPart, Bloc D]
  • A. Bloc C
    Bloc C is a section of the Résidence Palace complex in Brussels, known for housing European Union institutional facilities.
  • B. Block D
    Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
  • C. E Block
    E Block is a cellblock within the fictional Cold Mountain Penitentiary, notably depicted as the death row section in Stephen King’s novel "The Green Mile."
  • D. Blok-L
    Blok-L is a Soviet-era rocket upper stage used primarily to place payloads into highly elliptical orbits, notably for Molniya communications satellites.
  • E. The Bloc
    The Bloc is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • 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: Bloc D
Triple: [Résidence Palace, hasPart, Bloc D]
Generated description
Bloc D is a section of the Résidence Palace complex in Brussels, which houses part of the European Union’s institutional facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bloc D
Target entity description: Bloc D is a section of the Résidence Palace complex in Brussels, which houses part of the European Union’s institutional facilities.
  • A. Bloc C
    Bloc C is a section of the Résidence Palace complex in Brussels, known for housing European Union institutional facilities.
  • B. Block D
    Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
  • C. E Block
    E Block is a cellblock within the fictional Cold Mountain Penitentiary, notably depicted as the death row section in Stephen King’s novel "The Green Mile."
  • D. Blok-L
    Blok-L is a Soviet-era rocket upper stage used primarily to place payloads into highly elliptical orbits, notably for Molniya communications satellites.
  • E. The Bloc
    The Bloc is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d4528108190b38111bb36832a67 completed April 5, 2026, 10:45 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:44 p.m.