Triple
T3840085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire-Atlantique |
E93428
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
|
E393205
|
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: Vallet | Statement: [Loire-Atlantique, containsCity, Vallet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallet Context triple: [Loire-Atlantique, containsCity, Vallet]
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Vallettan
Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
-
C.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
-
D.
Cayor
Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
-
E.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
- 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: Vallet Triple: [Loire-Atlantique, containsCity, Vallet]
Generated description
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallet Target entity description: Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Vallettan
Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
-
C.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
-
D.
Cayor
Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
-
E.
Louvois
Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040a8b808190874ad1a5152adf1f |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504b2ba748190af2df2a318ab0693 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50534242c8190a1d4658e7896c2be |
completed | March 14, 2026, 6:50 a.m. |
Created at: March 9, 2026, 3:18 p.m.