Triple

T27424489
Position Surface form Disambiguated ID Type / Status
Subject Pawcatuck River E690442 entity
Predicate mouth P407 FINISHED
Object Little Narragansett Bay
Little Narragansett Bay is a shallow coastal estuary on the border of Connecticut and Rhode Island, known for its tidal flats, salt marshes, and recreational boating and shellfishing.
E1787866 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: Little Narragansett Bay | Statement: [Pawcatuck River, mouth, Little Narragansett Bay]
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: Little Narragansett Bay
Triple: [Pawcatuck River, mouth, Little Narragansett Bay]
Generated description
Little Narragansett Bay is a shallow coastal estuary on the border of Connecticut and Rhode Island, known for its tidal flats, salt marshes, and recreational boating and shellfishing.

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_69ef52003fb48190b0f1295246182a86 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d1f4e8481908387bb7c6956460e completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec9172b4819081c62cded7967f50 completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed2afa9481909cc0ca56270ba2a0 completed May 24, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a12edccfe54819094da363072bdf7a6 completed May 24, 2026, 12:23 p.m.
Created at: April 27, 2026, 12:40 p.m.