Triple

T23326411
Position Surface form Disambiguated ID Type / Status
Subject Pontotoc County, Mississippi, United States E591303 entity
Predicate hasMajorHighway P385 FINISHED
Object Mississippi Highway 345
Mississippi Highway 345 is a state highway in northern Mississippi that serves local traffic within Pontotoc County.
E1621410 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: Mississippi Highway 345 | Statement: [Pontotoc County, Mississippi, United States, hasMajorHighway, Mississippi Highway 345]
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: Mississippi Highway 345
Triple: [Pontotoc County, Mississippi, United States, hasMajorHighway, Mississippi Highway 345]
Generated description
Mississippi Highway 345 is a state highway in northern Mississippi that serves local traffic within Pontotoc County.

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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eaa7b88190aad2096c110dadea completed April 29, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0face3df688190bbccb8107bd30abd completed May 22, 2026, 1:09 a.m.
NEDg Description generation batch_6a0faef3d1e08190b431abe161532c81 completed May 22, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf52f7508190ba5ca0d7123f6619 completed May 22, 2026, 1:20 a.m.
Created at: April 17, 2026, 5:12 p.m.