Triple

T3044526
Position Surface form Disambiguated ID Type / Status
Subject Castries E83411 entity
Predicate hasUNLocode P1492 FINISHED
Object LCCAS
LCCAS is the UN/LOCODE identifier for the port and city of Castries, the capital of Saint Lucia.
 E321113 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: LCCAS | Statement: [Castries, hasUNLocode, LCCAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LCCAS
Context triple: [Castries, hasUNLocode, LCCAS]
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LCC
    LCC is an abbreviation commonly used for the Launch Control Center, the facility responsible for overseeing and managing rocket launch operations.
  • C. LCSA
    LCSA is a major U.S. federal law that modernized and strengthened the regulation of chemicals under the Toxic Substances Control Act to better protect human health and the environment.
  • D. CCAS
    CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
  • E. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • 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: LCCAS
Triple: [Castries, hasUNLocode, LCCAS]
Generated description
LCCAS is the UN/LOCODE identifier for the port and city of Castries, the capital of Saint Lucia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LCCAS
Target entity description: LCCAS is the UN/LOCODE identifier for the port and city of Castries, the capital of Saint Lucia.
  • A. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • B. LCC
    LCC is an abbreviation commonly used for the Launch Control Center, the facility responsible for overseeing and managing rocket launch operations.
  • C. LCSA
    LCSA is a major U.S. federal law that modernized and strengthened the regulation of chemicals under the Toxic Substances Control Act to better protect human health and the environment.
  • D. CCAS
    CCAS is an international environmental agreement aimed at protecting and managing seal populations in the Antarctic region.
  • E. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b602ed881909a72662eb544866b completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded35e008190be7dd72aa7537a3b completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfa2fb28819089d7d76d9dc72e06 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e0243a848190bce24d035a79fc0a completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.