Triple

T33147613
Position Surface form Disambiguated ID Type / Status
Subject Crooked Lake E848344 entity
Predicate connectedTo P37 FINISHED
Object Sunday Bay
Sunday Bay is a small, sheltered inlet or extension of Crooked Lake, likely known for its calm waters and natural surroundings.
E2041299 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: Sunday Bay | Statement: [Crooked Lake, connectedTo, Sunday 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: Sunday Bay
Triple: [Crooked Lake, connectedTo, Sunday Bay]
Generated description
Sunday Bay is a small, sheltered inlet or extension of Crooked Lake, likely known for its calm waters and natural surroundings.

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_69f3495a458c8190a1d34b237ba0be3f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d88ffa6081909b64a7014108abc7 completed May 3, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fb336f48190bb1fa6a3a24f8618 completed June 19, 2026, 12:01 p.m.
NEDg Description generation batch_6a35305f697c8190b02d778d33f27178 completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a353242c8148190910123613145e495 completed June 19, 2026, 12:12 p.m.
Created at: May 1, 2026, 1:28 a.m.