Triple

T27453671
Position Surface form Disambiguated ID Type / Status
Subject Queenstown, Maryland E692520 entity
Predicate transportation P230 FINISHED
Object Maryland Route 18
Maryland Route 18 is a state highway on Maryland’s Eastern Shore that serves as a local thoroughfare paralleling U.S. Route 50/301 and connecting communities such as Queenstown on Kent Island.
 E2032562 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: Maryland Route 18 | Statement: [Queenstown, Maryland, transportation, Maryland Route 18]
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: Maryland Route 18
Triple: [Queenstown, Maryland, transportation, Maryland Route 18]
Generated description
Maryland Route 18 is a state highway on Maryland’s Eastern Shore that serves as a local thoroughfare paralleling U.S. Route 50/301 and connecting communities such as Queenstown on Kent Island.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dc7c830819092e3f52733c8f60e completed May 2, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34da960dac81909237caf8379f94d8 completed June 19, 2026, 5:58 a.m.
NEDg Description generation batch_6a34db8b54248190bbae5ab7444e5a08 completed June 19, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_6a34dc8ff0b48190a6a9561683f13215 completed June 19, 2026, 6:07 a.m.
Created at: April 27, 2026, 12:48 p.m.