Triple
T32220830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelter Island Drive |
E823057
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Shelter Island commercial district
Shelter Island commercial district is a waterfront shopping and dining area in San Diego’s Point Loma neighborhood, known for its marinas, nautical-themed businesses, and views of the bay.
|
E1998180
|
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: Shelter Island commercial district | Statement: [Shelter Island Drive, partOf, Shelter Island commercial district]
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: Shelter Island commercial district Triple: [Shelter Island Drive, partOf, Shelter Island commercial district]
Generated description
Shelter Island commercial district is a waterfront shopping and dining area in San Diego’s Point Loma neighborhood, known for its marinas, nautical-themed businesses, and views of the bay.
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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbc4129481909d12bf4d5723dd3b |
completed | May 3, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f3ba19d808190b6fbe06ef79e84e9 |
completed | June 14, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a2f3c35079c8190a9b5d359d16cfd8b |
completed | June 14, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f41a090a08190ae41dff8c3b1a4a6 |
completed | June 15, 2026, 12:04 a.m. |
Created at: May 1, 2026, 12:38 a.m.