Triple

T27499976
Position Surface form Disambiguated ID Type / Status
Subject Washington State Route 101 E694124 entity
Predicate hasJunctionWith P1018 FINISHED
Object State Route 113
State Route 113 is a short state highway on Washington’s Olympic Peninsula that connects U.S. Route 101 with the coastal communities near the Strait of Juan de Fuca.
 E2294082 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: State Route 113 | Statement: [Washington State Route 101, hasJunctionWith, State Route 113]
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: State Route 113
Triple: [Washington State Route 101, hasJunctionWith, State Route 113]
Generated description
State Route 113 is a short state highway on Washington’s Olympic Peninsula that connects U.S. Route 101 with the coastal communities near the Strait of Juan de Fuca.

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_69ef538370888190b1ddf53bb4831188 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62ec1da1081908f1db9d4f63eeb85 completed May 2, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b766055748190b43fbc57cde9e032 completed Aug. 11, 2026, 7:22 p.m.
NEDg Description generation batch_6a7b76afac088190b8a45c3c8f274058 completed Aug. 11, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a7b77441b0c8190a3e5f3072a522eac completed Aug. 11, 2026, 7:25 p.m.
Created at: April 27, 2026, 1:10 p.m.