Triple
T12714959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blegny |
E303812
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mortier
Mortier is a village in the municipality of Blegny in the province of Liège, Belgium.
|
E997392
|
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: Mortier | Statement: [Blegny, hasPart, Mortier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortier Context triple: [Blegny, hasPart, Mortier]
-
A.
Mortier
Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
-
B.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
C.
Colas
Colas is the male romantic lead in the comic ballet "La Fille mal gardée," known as the charming young farmer who falls in love with Lise.
-
D.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
E.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
- 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: Mortier Triple: [Blegny, hasPart, Mortier]
Generated description
Mortier is a village in the municipality of Blegny in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortier Target entity description: Mortier is a village in the municipality of Blegny in the province of Liège, Belgium.
-
A.
Mortier
Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
-
B.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
C.
Colas
Colas is the male romantic lead in the comic ballet "La Fille mal gardée," known as the charming young farmer who falls in love with Lise.
-
D.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
E.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bad5108190915d14c3ec3d2e27 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:23 p.m.