Triple

T1030384
Position Surface form Disambiguated ID Type / Status
Subject Port of Montreal E22236 entity
Predicate UNLocode P1800 FINISHED
Object CAMTR
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
 E121423 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: CAMTR | Statement: [Port of Montreal, UNLocode, CAMTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAMTR
Context triple: [Port of Montreal, UNLocode, CAMTR]
  • A. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • B. BCAM
    BCAM (the Broad Contemporary Art Museum) is a major contemporary art building at the Los Angeles County Museum of Art that houses a significant collection of modern and contemporary works.
  • C. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • D. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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: CAMTR
Triple: [Port of Montreal, UNLocode, CAMTR]
Generated description
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAMTR
Target entity description: CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
  • A. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • B. BCAM
    BCAM (the Broad Contemporary Art Museum) is a major contemporary art building at the Los Angeles County Museum of Art that houses a significant collection of modern and contemporary works.
  • C. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • D. CAC
    The Central American Cup (CAC) is a regional football tournament featuring national teams from Central America competing for the championship title.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b810429081908a97014ca740824b completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bbf5a1c819086e1ff529d05f311 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3d80db008190b71b893f9d78ba4b completed March 7, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69ac3df3fea8819080b83c840ffd59a8 completed March 7, 2026, 3:02 p.m.
Created at: March 1, 2026, 7:41 p.m.