Triple

T30225723
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 89 E768472 entity
Predicate abbreviation P43 FINISHED
Object State Route 89
State Route 89 is a state highway in Maine that serves as a regional connector route within the state's road network.
 E2295176 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 89 | Statement: [Maine State Route 89, abbreviation, State Route 89]
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 89
Triple: [Maine State Route 89, abbreviation, State Route 89]
Generated description
State Route 89 is a state highway in Maine that serves as a regional 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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68021a1548190a3b341eab3fa6bbd completed May 2, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d14eec83c8190a0a7994713d6535c completed Aug. 13, 2026, 12:50 a.m.
NEDg Description generation batch_6a7d15440cc88190ae17e604c7f0eec2 completed Aug. 13, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a7d15e0f22081908fc5fdf6194d4a6c completed Aug. 13, 2026, 12:54 a.m.
Created at: April 29, 2026, 7:35 p.m.