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.