Triple

T21310015
Position Surface form Disambiguated ID Type / Status
Subject Callahan County, Texas E525303 entity
Predicate hasHighway P385 FINISHED
Object State Highway 206
State Highway 206 is a Texas state highway that runs through central West Texas, connecting several rural communities and serving as a regional north–south route.
 E2293114 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 206 | Statement: [Callahan County, Texas, hasHighway, State Highway 206]
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 206
Triple: [Callahan County, Texas, hasHighway, State Highway 206]
Generated description
State Highway 206 is a Texas state highway that runs through central West Texas, connecting several rural communities and serving as a regional north–south 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aaa56fc81909ba7649302528269 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a6a61e0a4819099a1ceea987b67f5 completed Aug. 11, 2026, 12:18 a.m.
NEDg Description generation batch_6a7a6adfeb488190ae28278a47b67afb completed Aug. 11, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a7a6b249800819093df0c10cf276740 completed Aug. 11, 2026, 12:21 a.m.
Created at: April 16, 2026, 4:06 p.m.