Triple

T26721894
Position Surface form Disambiguated ID Type / Status
Subject SR 100 E673726 entity
Predicate hasAbbreviation P43 FINISHED
Object State Highway 100
State Highway 100 is a state-maintained roadway designated as SR 100, serving regional transportation needs within its jurisdiction.
 E2297610 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 Highway 100 | Statement: [SR 100, hasAbbreviation, State Highway 100]
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 Highway 100
Triple: [SR 100, hasAbbreviation, State Highway 100]
Generated description
State Highway 100 is a state-maintained roadway designated as SR 100, serving regional transportation needs within its jurisdiction.

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_69eecda481d08190aea69f2f7c745f56 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f61802c8f081908fe3a2e7c3b4317b completed May 2, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83b08766bc8190a4a98ac495b552c0 completed Aug. 18, 2026, 1:08 a.m.
NEDg Description generation batch_6a83b1be751c8190ad722369ed00eec9 completed Aug. 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a83b216a30c8190b2fb147844b28b46 completed Aug. 18, 2026, 1:15 a.m.
Created at: April 27, 2026, 3:41 a.m.