Triple

T30601887
Position Surface form Disambiguated ID Type / Status
Subject Chaleur Bay E778928 entity
Predicate hasTownOnShore P969 FINISHED
Object Bonaventure, Quebec
Bonaventure, Quebec is a small coastal town in eastern Quebec, Canada, known for its Acadian heritage, tourism, and scenic location on the Gaspé Peninsula.
 E1957226 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: Bonaventure, Quebec | Statement: [Chaleur Bay, hasTownOnShore, Bonaventure, Quebec]
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: Bonaventure, Quebec
Triple: [Chaleur Bay, hasTownOnShore, Bonaventure, Quebec]
Generated description
Bonaventure, Quebec is a small coastal town in eastern Quebec, Canada, known for its Acadian heritage, tourism, and scenic location on the Gaspé Peninsula.

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_69f224a21fc08190abd9d8dd9eb6bb4c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689b1d4748190a36530d97480d579 completed May 2, 2026, 11:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e0972d48190813be5609ab3c272 completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a2823d8408190b62a5e80e6878daf completed June 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a2a288b41bc8190bfdc652f18191347 completed June 11, 2026, 3:16 a.m.
Created at: April 29, 2026, 8:25 p.m.