Triple
T36389514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Roch, Quebec City, Quebec, Canada |
E896288
|
entity |
| Predicate | hasPublicSpace |
P105
|
FINISHED |
| Object |
Place de l’Université-du-Québec
Place de l’Université-du-Québec is an urban public square in Quebec City’s Saint-Roch district, known for its modern design and role as a gathering space near the Université du Québec campus.
|
E2182783
|
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: Place de l’Université-du-Québec | Statement: [Saint-Roch, Quebec City, Quebec, Canada, hasPublicSpace, Place de l’Université-du-Québec]
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: Place de l’Université-du-Québec Triple: [Saint-Roch, Quebec City, Quebec, Canada, hasPublicSpace, Place de l’Université-du-Québec]
Generated description
Place de l’Université-du-Québec is an urban public square in Quebec City’s Saint-Roch district, known for its modern design and role as a gathering space near the Université du Québec campus.
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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bcd8071081909148c423b0959da5 |
completed | May 3, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39b438248081908e6a7b46c5a4ebeb |
completed | June 22, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a39b632e8c481909387fc19d2c1d57c |
completed | June 22, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39bd2067ec8190ac114bbbb5c8ec76 |
completed | June 22, 2026, 10:54 p.m. |
Created at: May 3, 2026, 4:10 p.m.