Triple

T26145252
Position Surface form Disambiguated ID Type / Status
Subject Texas State Highway Spur E659642 entity
Predicate relatedTo P37 FINISHED
Object Texas State Highway Loop
Texas State Highway Loop is a type of state-maintained roadway in Texas that typically forms a circular or semicircular route around a city or connects major highways.
 E1926970 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: Texas State Highway Loop | Statement: [Texas State Highway Spur, relatedTo, Texas State Highway Loop]
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: Texas State Highway Loop
Triple: [Texas State Highway Spur, relatedTo, Texas State Highway Loop]
Generated description
Texas State Highway Loop is a type of state-maintained roadway in Texas that typically forms a circular or semicircular route around a city or connects major highways.

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_69ee5bc496a88190af7deb7ab5e081de completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60be803c88190980a8aafa935a52b completed May 2, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870be0b8c8190b3c16d534c995558 completed June 9, 2026, 7:59 p.m.
NEDg Description generation batch_6a2878ea68388190a662e27e45537c93 completed June 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_6a28793daecc819097218352545caad0 completed June 9, 2026, 8:36 p.m.
Created at: April 26, 2026, 8:22 p.m.