Triple

T33963615
Position Surface form Disambiguated ID Type / Status
Subject SS Empress of Canada (1961) E870788 entity
Predicate homePortAsMardiGras P96373 FINISHED
Object Miami
Miami is a major coastal city in southeastern Florida known for its significant cruise ship industry, vibrant nightlife, and diverse cultural influences.
E1524 NE FINISHED

How this triple was built (3 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: Miami | Statement: [SS Empress of Canada (1961), homePortAsMardiGras, Miami]
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: Miami
Triple: [SS Empress of Canada (1961), homePortAsMardiGras, Miami]
Generated description
Miami is a major coastal city in southeastern Florida known for its significant cruise ship industry, vibrant nightlife, and diverse cultural influences.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: homePortAsMardiGras
Context triple: [SS Empress of Canada (1961), homePortAsMardiGras, Miami]
  • A. homePort
    Indicates that a vessel or mobile entity is based at, registered to, or primarily operates from a particular port or harbor.
  • B. laterHomePort
    Indicates that one location served as the subsequent or later home port of a vessel or entity after an earlier home port.
  • C. isHomePortOf
    Indicates that a particular location serves as the primary base or port where a vessel or fleet is officially registered, stationed, or regularly returns.
  • D. homePortContext
    Indicates the relationship in which a specific port serves as the designated home or base port for a vessel or maritime entity within a given context.
  • E. homeportCity chosen
    Indicates the city that serves as the primary home port or base location for a vessel or similar entity.
  • F. None of above.

Provenance (6 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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36a0203f408190b52807384191b044 completed June 20, 2026, 2:13 p.m.
NEDg Description generation batch_6a36a0c43d388190aa3499b2353aa31b completed June 20, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_6a36a16801c88190923bde7a7fd6a59d completed June 20, 2026, 2:19 p.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:50 a.m.