Triple
T4627826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouches-du-Rhône |
E101140
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Miramas
Miramas is a commune in southern France known for its location in the Provence-Alpes-Côte d'Azur region and its role as a regional rail and logistics hub.
|
E457579
|
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: Miramas | Statement: [Bouches-du-Rhône, contains, Miramas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miramas Context triple: [Bouches-du-Rhône, contains, Miramas]
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Miravet
Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
-
C.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
D.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
E.
Melissant
Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
- 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: Miramas Triple: [Bouches-du-Rhône, contains, Miramas]
Generated description
Miramas is a commune in southern France known for its location in the Provence-Alpes-Côte d'Azur region and its role as a regional rail and logistics hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miramas Target entity description: Miramas is a commune in southern France known for its location in the Provence-Alpes-Côte d'Azur region and its role as a regional rail and logistics hub.
-
A.
Lavezares
Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
-
B.
Miravet
Miravet is a historic village in Catalonia, Spain, known for its medieval castle overlooking the Ebro River.
-
C.
Barbeya
Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
-
D.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
E.
Melissant
Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaafa6108190bad95e2a7e5a2ff8 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbf15f1481908b76bcdd37ebd4ce |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.