Triple

T36008226
Position Surface form Disambiguated ID Type / Status
Subject ME 171 E1041329 entity
Predicate abbreviation P43 FINISHED
Object State Route 171
State Route 171 is a numbered state highway in Maine that serves as a local connector route within the state’s road network.
 E2297784 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 171 | Statement: [ME 171, abbreviation, State Route 171]
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 171
Triple: [ME 171, abbreviation, State Route 171]
Generated description
State Route 171 is a numbered state highway in Maine that serves as a local connector route within the state’s road network.

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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acb1f61481908f716dfa6d3fe969 completed May 3, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83d36c93d48190b5a87fc851d4223e completed Aug. 18, 2026, 3:37 a.m.
NEDg Description generation batch_6a83d3dcd1a48190be8054204e8863d8 completed Aug. 18, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_6a83d3f80d2881908b5f6fa23e69e58b completed Aug. 18, 2026, 3:39 a.m.
Created at: May 3, 2026, 4:07 p.m.