Triple

T30812296
Position Surface form Disambiguated ID Type / Status
Subject Maryland Route 90 E784677 entity
Predicate servesCommunity P82 FINISHED
Object Ocean Pines, Maryland
Ocean Pines, Maryland is a large planned residential and resort community near Ocean City on Maryland’s Eastern Shore, known for its waterfront properties, golf courses, and family-oriented amenities.
 E1933155 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: Ocean Pines, Maryland | Statement: [Maryland Route 90, servesCommunity, Ocean Pines, Maryland]
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: Ocean Pines, Maryland
Triple: [Maryland Route 90, servesCommunity, Ocean Pines, Maryland]
Generated description
Ocean Pines, Maryland is a large planned residential and resort community near Ocean City on Maryland’s Eastern Shore, known for its waterfront properties, golf courses, and family-oriented amenities.

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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6906564448190972c23b8344bc373 completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbdfa23c81908a1d98e4db0b94da completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bc6cb6a881909ed7d6cc6f4d697d completed June 10, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd11752881909989925c16498f98 completed June 10, 2026, 1:25 a.m.
Created at: April 29, 2026, 8:43 p.m.