Triple

T20827223
Position Surface form Disambiguated ID Type / Status
Subject City of Corsicana, Texas E512733 entity
Predicate transportation P230 FINISHED
Object State Highway 31
State Highway 31 is a major east–west state highway in Texas that connects Corsicana with several other cities and regional destinations.
 E2292391 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 31 | Statement: [City of Corsicana, Texas, transportation, State Highway 31]
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 31
Triple: [City of Corsicana, Texas, transportation, State Highway 31]
Generated description
State Highway 31 is a major east–west state highway in Texas that connects Corsicana with several other cities and regional destinations.

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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fe54608190a061274bf4316610 completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a687ed2f78c819085af6574af1e0533 completed July 28, 2026, 10:05 a.m.
NEDg Description generation batch_6a687f4735a48190936599566229d499 completed July 28, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_6a688197ac78819090186cbfde1be001 completed July 28, 2026, 10:16 a.m.
Created at: April 16, 2026, 12:42 p.m.