Triple

T34126173
Position Surface form Disambiguated ID Type / Status
Subject Holly, Colorado E875281 entity
Predicate hasTransportation P105 FINISHED
Object Colorado State Highway 89
Colorado State Highway 89 is a state highway in southeastern Colorado that connects the town of Holly to other regional routes across the rural plains.
 E2108878 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: Colorado State Highway 89 | Statement: [Holly, Colorado, hasTransportation, Colorado State Highway 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: Colorado State Highway 89
Triple: [Holly, Colorado, hasTransportation, Colorado State Highway 89]
Generated description
Colorado State Highway 89 is a state highway in southeastern Colorado that connects the town of Holly to other regional routes across the rural plains.

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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f49150c81909860c11c6ad8e4e3 completed May 3, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a375bc4f7108190aefaf59c1a4824d5 completed June 21, 2026, 3:34 a.m.
NEDg Description generation batch_6a375c86eaf88190892431254a018ea3 completed June 21, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a375d2b3c308190b2dc3e3d805005ce completed June 21, 2026, 3:40 a.m.
Created at: May 1, 2026, 1:53 a.m.