Triple
T29454105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Rock Promenade |
E747050
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object |
East Beach area of White Rock
The East Beach area of White Rock is a popular seaside district known for its sandy shoreline, scenic ocean views, and relaxed, family-friendly atmosphere along the waterfront.
|
E1868080
|
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: East Beach area of White Rock | Statement: [White Rock Promenade, connectsWith, East Beach area of White Rock]
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: East Beach area of White Rock Triple: [White Rock Promenade, connectsWith, East Beach area of White Rock]
Generated description
The East Beach area of White Rock is a popular seaside district known for its sandy shoreline, scenic ocean views, and relaxed, family-friendly atmosphere along the waterfront.
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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b6b17c48190899f49d33946738e |
completed | May 2, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25d941cc9c8190b46bcc0be931bdf7 |
completed | June 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_6a25dd6da0f4819097a6c39da69d5e6e |
completed | June 7, 2026, 9:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25e1a372c8819098b3fe3c7152633b |
completed | June 7, 2026, 9:24 p.m. |
Created at: April 28, 2026, 3:35 p.m.