Triple

T14576185
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway 51 E342056 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Hemphill County, Texas
Hemphill County, Texas is a sparsely populated county in the Texas Panhandle known for its ranching economy, rural landscapes, and the county seat of Canadian.
E1754675 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: Hemphill County, Texas | Statement: [Texas State Highway 51, locatedInAdministrativeTerritory, Hemphill County, Texas]
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: Hemphill County, Texas
Triple: [Texas State Highway 51, locatedInAdministrativeTerritory, Hemphill County, Texas]
Generated description
Hemphill County, Texas is a sparsely populated county in the Texas Panhandle known for its ranching economy, rural landscapes, and the county seat of Canadian.

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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123a7c8c988190b02b617218d24837 completed May 23, 2026, 11:38 p.m.
NEDg Description generation batch_6a123ce435c4819089f35fef6d750b2f completed May 23, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_6a123d4c0b248190a0a514789d0b4607 completed May 23, 2026, 11:50 p.m.
Created at: April 10, 2026, 1:24 a.m.