Triple
T1387146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saône-et-Loire |
E29871
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Le Creusot
Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
|
E160692
|
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: Le Creusot | Statement: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Le Creusot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Creusot Context triple: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Le Creusot]
-
A.
Herstal
Herstal is an industrial town in the Liège province of eastern Belgium, known historically for its arms manufacturing and proximity to the city of Liège.
-
B.
Eiffel et Cie
Eiffel et Cie was the engineering and construction firm through which Gustave Eiffel carried out many of his major iron-structure projects in the late 19th century.
-
C.
Traton
Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
- 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: Le Creusot Triple: [Saône-et-Loire, containsAdministrativeTerritorialEntity, Le Creusot]
Generated description
Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Creusot Target entity description: Le Creusot is an industrial town in eastern France historically known for its steelworks and heavy engineering industries.
-
A.
Herstal
Herstal is an industrial town in the Liège province of eastern Belgium, known historically for its arms manufacturing and proximity to the city of Liège.
-
B.
Eiffel et Cie
Eiffel et Cie was the engineering and construction firm through which Gustave Eiffel carried out many of his major iron-structure projects in the late 19th century.
-
C.
Traton
Traton is a commercial vehicle manufacturer and holding company that oversees brands like MAN and Scania within the Volkswagen Group.
-
D.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
E.
Union Steel
Union Steel was an American steel company historically associated with industrialist and financier Andrew W. Mellon.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33b6e108190b6b2bca4ddd97b6c |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde1f08e08190871fd9d539e902c8 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdf4e74b08190a18df73cca054b28 |
completed | March 8, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace03eabf48190a79b5112fb2a917d |
completed | March 8, 2026, 2:34 a.m. |
Created at: March 1, 2026, 7:59 p.m.