Triple

T34988581
Position Surface form Disambiguated ID Type / Status
Subject Transportation in Fannin County, Texas E1009319 entity
Predicate hasComponent P35 FINISHED
Object Farm to Market Road 2735
Farm to Market Road 2735 is a rural Texas state roadway in Fannin County that connects local agricultural areas and small communities to larger regional routes.
E2137987 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: Farm to Market Road 2735 | Statement: [Transportation in Fannin County, Texas, hasComponent, Farm to Market Road 2735]
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: Farm to Market Road 2735
Triple: [Transportation in Fannin County, Texas, hasComponent, Farm to Market Road 2735]
Generated description
Farm to Market Road 2735 is a rural Texas state roadway in Fannin County that connects local agricultural areas and small communities to larger regional routes.

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_69f76dca50dc8190b71f39defe186be8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784bbf8b881908ab91844d9529eda completed May 3, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382c9b2358819082e88577f0c96fbc completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d21cd8881909249e6762bde2ae2 completed June 21, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a382d8e54608190a7de6942dfe3801a completed June 21, 2026, 6:29 p.m.
Created at: May 3, 2026, 4:01 p.m.