Triple

T30698514
Position Surface form Disambiguated ID Type / Status
Subject Blanco, Texas E781544 entity
Predicate transportationRoute P11026 FINISHED
Object Ranch to Market Road 1623
Ranch to Market Road 1623 is a Texas state-maintained ranch-to-market roadway that serves as a local connector route in and around Blanco, Texas.
E2074382 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: Ranch to Market Road 1623 | Statement: [Blanco, Texas, transportationRoute, Ranch to Market Road 1623]
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: Ranch to Market Road 1623
Triple: [Blanco, Texas, transportationRoute, Ranch to Market Road 1623]
Generated description
Ranch to Market Road 1623 is a Texas state-maintained ranch-to-market roadway that serves as a local connector route in and around Blanco, Texas.

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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68bdceb8c8190b78e499ea2357e0f completed May 2, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3689ad316081908599ae98505b8698 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a465dec8190abfed840dfbf11e9 completed June 20, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a368ac9af4c81909847e2aedf58afae completed June 20, 2026, 12:42 p.m.
Created at: April 29, 2026, 8:34 p.m.