Triple
T7763607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marnes-la-Coquette |
E176086
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Marnes
Marnes is a historical locality in France whose name survives in the modern commune of Marnes-la-Coquette.
|
E527753
|
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: Marnes | Statement: [Marnes-la-Coquette, namedAfter, Marnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marnes Context triple: [Marnes-la-Coquette, namedAfter, Marnes]
-
A.
Maringe
Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
-
B.
Mont-Saint-Martin
Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
-
C.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
D.
Mitry–Claye
Mitry–Claye is a suburban railway station in the northeastern outskirts of Paris that serves as one of the terminal endpoints of the RER B commuter line.
-
E.
Marnes-la-Coquette
Marnes-la-Coquette is a small, affluent residential commune in the western suburbs of Paris, known for its wooded surroundings and proximity to the Parc de Saint-Cloud.
- 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: Marnes Triple: [Marnes-la-Coquette, namedAfter, Marnes]
Generated description
Marnes is a historical locality in France whose name survives in the modern commune of Marnes-la-Coquette.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marnes Target entity description: Marnes is a historical locality in France whose name survives in the modern commune of Marnes-la-Coquette.
-
A.
Maringe
Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
-
B.
Mont-Saint-Martin
Mont-Saint-Martin is a commune in northeastern France notable for lying at the junction of the French, Belgian, and Luxembourgish borders.
-
C.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
D.
Mitry–Claye
Mitry–Claye is a suburban railway station in the northeastern outskirts of Paris that serves as one of the terminal endpoints of the RER B commuter line.
-
E.
Marnes-la-Coquette
chosen
Marnes-la-Coquette is a small, affluent residential commune in the western suburbs of Paris, known for its wooded surroundings and proximity to the Parc de Saint-Cloud.
- F. None of above.
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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704061d1881909b5b42bb93d2b8a7 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7da8b848190b378f694118dfa19 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8d7a51481908fd537dbb57a6116 |
completed | March 29, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c98179908190a68b7f029fff8e3c |
completed | March 29, 2026, 6:41 a.m. |
Created at: March 27, 2026, 4:09 p.m.