Triple

T18744056
Position Surface form Disambiguated ID Type / Status
Subject Union Rescue Mission E458361 entity
Predicate abbreviation P43 FINISHED
Object URM
URM is the commonly used abbreviation for Union Rescue Mission, a prominent Christian homeless services organization based in Los Angeles.
 E1339536 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: URM | Statement: [Union Rescue Mission, abbreviation, URM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: URM
Context triple: [Union Rescue Mission, abbreviation, URM]
  • A. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • B. URM
    URM is the commonly used Lithuanian abbreviation for the country’s Ministry of Foreign Affairs.
  • C. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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: URM
Triple: [Union Rescue Mission, abbreviation, URM]
Generated description
URM is the commonly used abbreviation for Union Rescue Mission, a prominent Christian homeless services organization based in Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: URM
Target entity description: URM is the commonly used abbreviation for Union Rescue Mission, a prominent Christian homeless services organization based in Los Angeles.
  • A. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • B. URM
    URM is the commonly used Lithuanian abbreviation for the country’s Ministry of Foreign Affairs.
  • C. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57690a4d081908ab4c3890bb07e86 completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053267cf6c8190be105bc4a00d58ef completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a05333ba5ac81908a09a93ce00ff1a9 completed May 14, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0533d4783c8190a29da50953580177 completed May 14, 2026, 2:30 a.m.
Created at: April 10, 2026, 11:51 a.m.