Triple

T27235371
Position Surface form Disambiguated ID Type / Status
Subject Loop 1 E682256 entity
Predicate highwaySystem P1019 FINISHED
Object Texas State Highway Loop system
The Texas State Highway Loop system is a network of numbered loop routes that provide local access, bypasses, and connectors around cities and towns within the Texas state highway network.
 E1662309 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 system | Statement: [Loop 1, highwaySystem, Texas State Highway Loop system]
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 system
Triple: [Loop 1, highwaySystem, Texas State Highway Loop system]
Generated description
The Texas State Highway Loop system is a network of numbered loop routes that provide local access, bypasses, and connectors around cities and towns within the Texas state highway network.

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_69eefacdad7881908b7bca61c90a1a1e completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6267913848190bbdc065a215cae22 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262730bc08190ac8b566169ffeebd completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126580cdf881908132820180f17505 completed May 24, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a1266053b708190b8561f464961ce26 completed May 24, 2026, 2:44 a.m.
Created at: April 27, 2026, 9:47 a.m.