Triple
T3853275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orb |
E85347
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Lamalou-les-Bains
Lamalou-les-Bains is a spa town in southern France known for its thermal baths and therapeutic treatments.
|
E395073
|
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: Lamalou-les-Bains | Statement: [Orb, flowsThrough, Lamalou-les-Bains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamalou-les-Bains Context triple: [Orb, flowsThrough, Lamalou-les-Bains]
-
A.
Le Beausset
Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
-
B.
Enghien-les-Bains
Enghien-les-Bains is a spa and resort town in the northern suburbs of Paris, France, known for its thermal baths and lakeside casino.
-
C.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
D.
Divonne-les-Bains
Divonne-les-Bains is a French spa town in eastern France near the Swiss border, known for its thermal baths, casino, and proximity to Lake Geneva.
-
E.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
- 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: Lamalou-les-Bains Triple: [Orb, flowsThrough, Lamalou-les-Bains]
Generated description
Lamalou-les-Bains is a spa town in southern France known for its thermal baths and therapeutic treatments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamalou-les-Bains Target entity description: Lamalou-les-Bains is a spa town in southern France known for its thermal baths and therapeutic treatments.
-
A.
Le Beausset
Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
-
B.
Enghien-les-Bains
Enghien-les-Bains is a spa and resort town in the northern suburbs of Paris, France, known for its thermal baths and lakeside casino.
-
C.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
D.
Divonne-les-Bains
Divonne-les-Bains is a French spa town in eastern France near the Swiss border, known for its thermal baths, casino, and proximity to Lake Geneva.
-
E.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec01f7b48190ba1ec89328b3fccb |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51231608c8190bbc5dc990fba1606 |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b512b8f13881909a264439f9cbea24 |
completed | March 14, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51339ee948190a7c9ab3c5eb106da |
completed | March 14, 2026, 7:50 a.m. |
Created at: March 9, 2026, 3:19 p.m.