Triple

T32982625
Position Surface form Disambiguated ID Type / Status
Subject Mattaponi River E843843 entity
Predicate formedByConfluenceOf P402 FINISHED
Object Ta River
The Ta River is a tributary in eastern Virginia that joins with the Matta River to form the Mattaponi River, contributing to the Chesapeake Bay watershed.
 E2296290 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: Ta River | Statement: [Mattaponi River, formedByConfluenceOf, Ta River]
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: Ta River
Triple: [Mattaponi River, formedByConfluenceOf, Ta River]
Generated description
The Ta River is a tributary in eastern Virginia that joins with the Matta River to form the Mattaponi River, contributing to the Chesapeake Bay watershed.

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_69f3494c6f9c8190a255409fce8b1d3b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1ddc67481909f4ab3f1b7356bd5 completed May 3, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a825a8b6ccc81908fb5f2a9e67323c0 completed Aug. 17, 2026, 12:49 a.m.
NEDg Description generation batch_6a825add19688190a6416c13e33c18d8 completed Aug. 17, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a825b2f781c8190bd7bd46e2298ad59 completed Aug. 17, 2026, 12:51 a.m.
Created at: May 1, 2026, 1:22 a.m.