Triple

T24567365
Position Surface form Disambiguated ID Type / Status
Subject Lamar County, Texas E607827 entity
Predicate hasMajorHighway P385 FINISHED
Object State Highway 224
State Highway 224 is a Texas state highway that serves as an important regional route connecting communities in and around Lamar County.
 E2296178 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 224 | Statement: [Lamar County, Texas, hasMajorHighway, State Highway 224]
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 224
Triple: [Lamar County, Texas, hasMajorHighway, State Highway 224]
Generated description
State Highway 224 is a Texas state highway that serves as an important regional route connecting communities in and around Lamar County.

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_69e2c4cc35a48190990b7571bc086df8 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a92141f88190bcbd7c6aeafc0725 completed April 30, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a8245527fdc81909e2f6c917766b7a9 completed Aug. 16, 2026, 11:18 p.m.
NEDg Description generation batch_6a8245c891d8819087848b2838db758e completed Aug. 16, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_6a8245edc6888190b385e28b93c75637 completed Aug. 16, 2026, 11:21 p.m.
Created at: April 18, 2026, 2:28 a.m.