Triple
T26565917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rye Beach Avenue |
E666382
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Rye Town Park and Beach
Rye Town Park and Beach is a historic public waterfront park and sandy beach on Long Island Sound in Rye, New York, offering recreation, swimming, and scenic coastal views.
|
E1732630
|
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: Rye Town Park and Beach | Statement: [Rye Beach Avenue, associatedWith, Rye Town Park and Beach]
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: Rye Town Park and Beach Triple: [Rye Beach Avenue, associatedWith, Rye Town Park and Beach]
Generated description
Rye Town Park and Beach is a historic public waterfront park and sandy beach on Long Island Sound in Rye, New York, offering recreation, swimming, and scenic coastal views.
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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149f29c88190b4899c61a28828c1 |
completed | May 2, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11c828575c8190a4a94ee055a6d16d |
completed | May 23, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a11c919c3d08190ae5cc3a21f5257be |
completed | May 23, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ca2243988190a158631f4b94e205 |
completed | May 23, 2026, 3:39 p.m. |
Created at: April 27, 2026, 1:55 a.m.