Triple

T16093329
Position Surface form Disambiguated ID Type / Status
Subject Texas state highways E390416 entity
Predicate hasComponent P35 FINISHED
Object State Highway 87
State Highway 87 is a major Texas state highway running along the Gulf Coast and through East Texas, connecting coastal communities and inland towns.
 E2208012 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 87 | Statement: [Texas state highways, hasComponent, State Highway 87]
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 87
Triple: [Texas state highways, hasComponent, State Highway 87]
Generated description
State Highway 87 is a major Texas state highway running along the Gulf Coast and through East Texas, connecting coastal communities and inland towns.

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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858ed09881909bde122971d95753 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e5737fd408190812eda47191c7587 completed June 26, 2026, 10:40 a.m.
NEDg Description generation batch_6a3e591d57608190bd82a60c74d1ae1d completed June 26, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a3e5f4a910081908f9ff844c1feb1ae completed June 26, 2026, 11:15 a.m.
Created at: April 10, 2026, 4:59 a.m.