Triple

T24829143
Position Surface form Disambiguated ID Type / Status
Subject Childs River E621281 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Waquoit, Massachusetts
Waquoit, Massachusetts is a small coastal village in the town of Falmouth on Cape Cod, known for its proximity to Waquoit Bay and surrounding estuarine and conservation areas.
E1817310 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: Waquoit, Massachusetts | Statement: [Childs River, hasNearbySettlement, Waquoit, Massachusetts]
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: Waquoit, Massachusetts
Triple: [Childs River, hasNearbySettlement, Waquoit, Massachusetts]
Generated description
Waquoit, Massachusetts is a small coastal village in the town of Falmouth on Cape Cod, known for its proximity to Waquoit Bay and surrounding estuarine and conservation areas.

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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422b06aec81908885429764059103 completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1632d0f8f081908eea6ced1f8dc412 completed May 26, 2026, 11:54 p.m.
NEDg Description generation batch_6a1633f6ab3c819084c6626f012a75da completed May 26, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a16350e130c8190a9a73ee1edce0928 completed May 27, 2026, 12:04 a.m.
Created at: April 18, 2026, 5:09 a.m.