Triple
T28543015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Saint-Guibert |
E722350
|
entity |
| Predicate | hasMunicipalCouncil |
P3379
|
FINISHED |
| Object |
Mont-Saint-Guibert municipal council
The Mont-Saint-Guibert municipal council is the elected local governing body responsible for setting policies, budgets, and regulations for the municipality of Mont-Saint-Guibert in Belgium.
|
E1823761
|
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: Mont-Saint-Guibert municipal council | Statement: [Mont-Saint-Guibert, hasMunicipalCouncil, Mont-Saint-Guibert municipal council]
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: Mont-Saint-Guibert municipal council Triple: [Mont-Saint-Guibert, hasMunicipalCouncil, Mont-Saint-Guibert municipal council]
Generated description
The Mont-Saint-Guibert municipal council is the elected local governing body responsible for setting policies, budgets, and regulations for the municipality of Mont-Saint-Guibert in Belgium.
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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500b2f1881908d21a0cbc7877ebf |
completed | May 2, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cac699f008190a2724169ac17bef0 |
completed | May 31, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_6a1cad2074c88190b059e7a591857302 |
completed | May 31, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cb1010f94819092380c7428bfac26 |
completed | May 31, 2026, 10:06 p.m. |
Created at: April 28, 2026, 3:36 a.m.