Triple

T36740826
Position Surface form Disambiguated ID Type / Status
Subject Cow Neck Peninsula E907606 entity
Predicate contains P35 FINISHED
Object Port Washington Peninsula
Port Washington Peninsula is a residential and commercial coastal area on Long Island’s North Shore in Nassau County, New York, known for its waterfront communities and marinas.
E260279 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: Port Washington Peninsula | Statement: [Cow Neck Peninsula, contains, Port Washington Peninsula]
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: Port Washington Peninsula
Triple: [Cow Neck Peninsula, contains, Port Washington Peninsula]
Generated description
Port Washington Peninsula is a residential and commercial coastal area on Long Island’s North Shore in Nassau County, New York, known for its waterfront communities and marinas.

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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8ff3fb4819082d4d5fea6ce614c completed May 3, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d179000a48190ac074a008c1fba44 completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d1b684f048190a3280d0e401094f0 completed June 25, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_6a3dd0510f40819097a3c356f1b3b83a completed June 26, 2026, 1:05 a.m.
Created at: May 3, 2026, 4:12 p.m.