Triple

T37453946
Position Surface form Disambiguated ID Type / Status
Subject Luling, Texas E930744 entity
Predicate locatedOn P40 FINISHED
Object State Highway 80
State Highway 80 is a Texas state highway that runs through central Texas, connecting several small towns and rural communities, including the city of Luling.
 E2282624 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 80 | Statement: [Luling, Texas, locatedOn, State Highway 80]
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 80
Triple: [Luling, Texas, locatedOn, State Highway 80]
Generated description
State Highway 80 is a Texas state highway that runs through central Texas, connecting several small towns and rural communities, including the city of Luling.

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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e0bcf888190b75857e1307c4ee7 completed May 6, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a421bce12b88190928183bf74f78696 completed June 29, 2026, 7:16 a.m.
NEDg Description generation batch_6a421f8b5748819092013f539d1b8c50 completed June 29, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_6a42202f360881909258cf5a1904e173 completed June 29, 2026, 7:35 a.m.
Created at: May 3, 2026, 4:17 p.m.