Triple

T23441441
Position Surface form Disambiguated ID Type / Status
Subject Beauharnois‑Salaberry E565412 entity
Predicate hasBorderWith P224 FINISHED
Object Le Haut‑Saint‑Laurent RCM
Le Haut‑Saint‑Laurent RCM is a regional county municipality in southwestern Quebec, Canada, known for its rural communities, agricultural landscape, and location along the Saint Lawrence River near the U.S. border.
E1607105 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: Le Haut‑Saint‑Laurent RCM | Statement: [Beauharnois‑Salaberry, hasBorderWith, Le Haut‑Saint‑Laurent RCM]
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: Le Haut‑Saint‑Laurent RCM
Triple: [Beauharnois‑Salaberry, hasBorderWith, Le Haut‑Saint‑Laurent RCM]
Generated description
Le Haut‑Saint‑Laurent RCM is a regional county municipality in southwestern Quebec, Canada, known for its rural communities, agricultural landscape, and location along the Saint Lawrence River near the U.S. border.

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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a644f6948190af07b3c4c32fc7ae completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f75eb3ccc8190a792110c4ea432f9 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f768c30b081908b64bd292b1749eb completed May 21, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77a3c6e4819080c8b07fc9dd5b62 completed May 21, 2026, 9:22 p.m.
Created at: April 17, 2026, 5:51 p.m.