Triple
T26011679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Kingston |
E646916
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Coronation Market transport hub
Coronation Market transport hub is a major public transportation node in downtown Kingston, Jamaica, serving the bustling Coronation Market and surrounding commercial districts.
|
E1704012
|
NE FINISHED |
How this triple was built (2 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: Coronation Market transport hub | Statement: [Downtown Kingston, hasLandmark, Coronation Market transport hub]
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: Coronation Market transport hub Triple: [Downtown Kingston, hasLandmark, Coronation Market transport hub]
Generated description
Coronation Market transport hub is a major public transportation node in downtown Kingston, Jamaica, serving the bustling Coronation Market and surrounding commercial districts.
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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b5f34c8190880875cdd32ab051 |
completed | May 2, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1107a52c888190912e1e8f3175660d |
completed | May 23, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_6a11090be01081909db2a95c6d3afda7 |
completed | May 23, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11098d46308190a3df9e8a74041538 |
completed | May 23, 2026, 1:57 a.m. |
Created at: April 22, 2026, 9:02 a.m.