Triple

T11348805
Position Surface form Disambiguated ID Type / Status
Subject DC Motema Pembe E268788 entity
Predicate shortName P43 FINISHED
Object DCMP
DCMP is a Congolese football club commonly known by the short name of Daring Club Motema Pembe.
 E920214 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: DCMP | Statement: [DC Motema Pembe, shortName, DCMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DCMP
Context triple: [DC Motema Pembe, shortName, DCMP]
  • A. DMP
    DMP is the Division of Materials Physics, a specialized unit of the American Physical Society focused on research and advancement in materials physics.
  • B. DPM
    DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
  • C. DCOMP
    DCOMP is the APS Division of Computational Physics, a professional unit within the American Physical Society that promotes research and collaboration in computational methods across all areas of physics.
  • D. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • E. DCAM
    DCAM is a major clinical and research facility of the University of Chicago Medicine that houses advanced outpatient care and specialty services.
  • 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: DCMP
Triple: [DC Motema Pembe, shortName, DCMP]
Generated description
DCMP is a Congolese football club commonly known by the short name of Daring Club Motema Pembe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DCMP
Target entity description: DCMP is a Congolese football club commonly known by the short name of Daring Club Motema Pembe.
  • A. DMP
    DMP is the Division of Materials Physics, a specialized unit of the American Physical Society focused on research and advancement in materials physics.
  • B. DPM
    DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
  • C. DCOMP
    DCOMP is the APS Division of Computational Physics, a professional unit within the American Physical Society that promotes research and collaboration in computational methods across all areas of physics.
  • D. DCMR
    DCMR is the official codified collection of all administrative rules and regulations issued by agencies of the District of Columbia government.
  • E. DCAM
    DCAM is a major clinical and research facility of the University of Chicago Medicine that houses advanced outpatient care and specialty services.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5438d7b58819093cc1407fefe8ab5 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.