Triple

T33136856
Position Surface form Disambiguated ID Type / Status
Subject Alabama State Route 55 E848029 entity
Predicate isSignedAs P9766 FINISHED
Object State Route 55
State Route 55 is a primary state highway in Alabama that connects several communities in the southern part of the state and serves as an important regional transportation corridor.
 E2296392 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 55 | Statement: [Alabama State Route 55, isSignedAs, State Route 55]
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 55
Triple: [Alabama State Route 55, isSignedAs, State Route 55]
Generated description
State Route 55 is a primary state highway in Alabama that connects several communities in the southern part of the state and serves as an important regional transportation corridor.

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_69f3495961d88190b16ea542c2c5f825 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d83685e48190887f2e86e02cfc3d completed May 3, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a826d7976588190bc1e2928ba4cad47 completed Aug. 17, 2026, 2:10 a.m.
NEDg Description generation batch_6a826de5a6208190a620e92d3beb402d completed Aug. 17, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a826e2ede68819085939d70f7cae46a completed Aug. 17, 2026, 2:13 a.m.
Created at: May 1, 2026, 1:27 a.m.