Triple
T21648597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clermont, Florida |
E534278
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Clermont, France
Clermont, France is a historic French town whose name was later adopted by the city of Clermont in Florida, USA.
|
E1494691
|
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: Clermont, France | Statement: [Clermont, Florida, namedAfter, Clermont, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clermont, France Context triple: [Clermont, Florida, namedAfter, Clermont, France]
-
A.
Saint-Clair, France
Saint-Clair, France is a small commune in southern France, known for its rural character and agricultural surroundings.
-
B.
Montlouis-sur-Loire, France
Montlouis-sur-Loire is a commune in central France’s Loire Valley, known for its vineyards and historic châteaux along the Loire River.
-
C.
Douai, France
Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
-
D.
Nice, France
Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
-
E.
Leon, France
Leon, France is a French locality whose name was used as the namesake for the town of Leon in Iowa, United States.
- 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: Clermont, France Triple: [Clermont, Florida, namedAfter, Clermont, France]
Generated description
Clermont, France is a historic French town whose name was later adopted by the city of Clermont in Florida, USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clermont, France Target entity description: Clermont, France is a historic French town whose name was later adopted by the city of Clermont in Florida, USA.
-
A.
Saint-Clair, France
Saint-Clair, France is a small commune in southern France, known for its rural character and agricultural surroundings.
-
B.
Montlouis-sur-Loire, France
Montlouis-sur-Loire is a commune in central France’s Loire Valley, known for its vineyards and historic châteaux along the Loire River.
-
C.
Douai, France
Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
-
D.
Nice, France
Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
-
E.
Leon, France
Leon, France is a French locality whose name was used as the namesake for the town of Leon in Iowa, United States.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59131c88819082df8e5b87f5954b |
completed | April 27, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0fa684408190a3b1fa9b17df4057 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a11148bac8190b328be525f03666d |
completed | May 17, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a11821c148190be5c4f87cdeae923 |
completed | May 17, 2026, 7:05 p.m. |
Created at: April 16, 2026, 6:35 p.m.