Triple
T19438499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariège River |
E486286
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Lèze
The Lèze is a small river in southwestern France that flows through the Occitanie region before joining the Ariège.
|
E1383048
|
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: Lèze | Statement: [Ariège River, hasTributary, Lèze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lèze Context triple: [Ariège River, hasTributary, Lèze]
-
A.
La Seyne-sur-Mer
La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
-
B.
Èze-sur-Mer
Èze-sur-Mer is the seaside district of the French Riviera commune of Èze, known for its beaches and coastal location between Nice and Monaco.
-
C.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
D.
Seysses
Seysses is a commune in southwestern France, located in the Haute-Garonne department near Toulouse.
-
E.
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.
- 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: Lèze Triple: [Ariège River, hasTributary, Lèze]
Generated description
The Lèze is a small river in southwestern France that flows through the Occitanie region before joining the Ariège.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lèze Target entity description: The Lèze is a small river in southwestern France that flows through the Occitanie region before joining the Ariège.
-
A.
La Seyne-sur-Mer
La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
-
B.
Èze-sur-Mer
Èze-sur-Mer is the seaside district of the French Riviera commune of Èze, known for its beaches and coastal location between Nice and Monaco.
-
C.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
D.
Seysses
Seysses is a commune in southwestern France, located in the Haute-Garonne department near Toulouse.
-
E.
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.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336281b88190b1e5ad2606d7c314 |
completed | April 20, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07576b51e08190b70519021918b280 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07588550588190963ebb3c742d4d3f |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07592c42488190b140e501dd9d4ae1 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:38 p.m.