Triple

T25567001
Position Surface form Disambiguated ID Type / Status
Subject Delaware state highway system E640863 entity
Predicate hasComponent P35 FINISHED
Object Delaware Route 279
Delaware Route 279 is a short state highway in northern Delaware that connects the Maryland state line near Elkton to the Newark area, serving as a key local commuter and connector route.
E1811984 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: Delaware Route 279 | Statement: [Delaware state highway system, hasComponent, Delaware Route 279]
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: Delaware Route 279
Triple: [Delaware state highway system, hasComponent, Delaware Route 279]
Generated description
Delaware Route 279 is a short state highway in northern Delaware that connects the Maryland state line near Elkton to the Newark area, serving as a key local commuter and connector route.

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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8fd420481909232e6b0f0938695 completed May 2, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1606e47fcc81908307a29e2b6cb39d completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a1612f49f608190abe3f715dc878cb1 completed May 26, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a1613ad48648190854382246e238d2b completed May 26, 2026, 9:42 p.m.
Created at: April 21, 2026, 3:50 p.m.