Triple

T16093339
Position Surface form Disambiguated ID Type / Status
Subject Texas state highways E390416 entity
Predicate hasComponent P35 FINISHED
Object State Highway 44
State Highway 44 is a major east–west state highway in South Texas that connects the Corpus Christi area to inland communities and serves as an important regional freight and travel corridor.
 E2222273 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 44 | Statement: [Texas state highways, hasComponent, State Highway 44]
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 44
Triple: [Texas state highways, hasComponent, State Highway 44]
Generated description
State Highway 44 is a major east–west state highway in South Texas that connects the Corpus Christi area to inland communities and serves as an important regional freight and travel 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_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_6a40636838e4819090536a5245e53ac5 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a4064ff3f5c8190903b3c4ccf87b35d completed June 28, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a406574585c8190a8d9f3565bdd46ea completed June 28, 2026, 12:06 a.m.
Created at: April 10, 2026, 4:59 a.m.