Triple

T29355818
Position Surface form Disambiguated ID Type / Status
Subject Capital Circle (Tallahassee ring road) E744438 entity
Predicate partlyDesignatedAs P25442 FINISHED
Object State Road 261
State Road 261 is a state highway in Tallahassee, Florida, that forms part of the Capital Circle ring road encircling much of the city.
E1925470 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 Road 261 | Statement: [Capital Circle (Tallahassee ring road), partlyDesignatedAs, State Road 261]
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 Road 261
Triple: [Capital Circle (Tallahassee ring road), partlyDesignatedAs, State Road 261]
Generated description
State Road 261 is a state highway in Tallahassee, Florida, that forms part of the Capital Circle ring road encircling much of the city.

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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6695ea2c0819098c94eb40d2a0634 completed May 2, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870c4762c81908a9fdcb04f0188d3 completed June 9, 2026, 8 p.m.
NEDg Description generation batch_6a28718ba1ec819083ca5405d759059d completed June 9, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_6a2871f5efd8819087d5cd7700ed155f completed June 9, 2026, 8:05 p.m.
Created at: April 28, 2026, 2:11 p.m.