Triple
T14768189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodoigne |
E347056
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Piétrain
Piétrain is a village in Walloon Brabant, Belgium, best known as the namesake origin of the Piétrain pig breed.
|
E1118738
|
NE FINISHED |
How this triple was built (4 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: Piétrain | Statement: [Jodoigne, hasMunicipalSection, Piétrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piétrain Context triple: [Jodoigne, hasMunicipalSection, Piétrain]
-
A.
Nivernais cattle
Nivernais cattle are a traditional French draught and beef cattle breed originating from the Nivernais region, known for their strength and distinctive dark coat.
-
B.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
C.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
D.
Charolais
Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
-
E.
Franches-Montagnes horse
The Franches-Montagnes horse is a versatile Swiss light draft and riding breed known for its strength, sure-footedness, and calm temperament.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Piétrain Triple: [Jodoigne, hasMunicipalSection, Piétrain]
Generated description
Piétrain is a village in Walloon Brabant, Belgium, best known as the namesake origin of the Piétrain pig breed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piétrain Target entity description: Piétrain is a village in Walloon Brabant, Belgium, best known as the namesake origin of the Piétrain pig breed.
-
A.
Nivernais cattle
Nivernais cattle are a traditional French draught and beef cattle breed originating from the Nivernais region, known for their strength and distinctive dark coat.
-
B.
Marans
Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
-
C.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
D.
Charolais
Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
-
E.
Franches-Montagnes horse
The Franches-Montagnes horse is a versatile Swiss light draft and riding breed known for its strength, sure-footedness, and calm temperament.
- F. None of above. chosen
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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1874682881909ff97bca55bea320 |
completed | May 8, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1918fa988190b8ed746aa6f6f829 |
completed | May 8, 2026, 5:10 p.m. |
Created at: April 10, 2026, 1:30 a.m.