Triple
T10832807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royan |
E255664
|
entity |
| Predicate | roadAccessVia |
P9041
|
FINISHED |
| Object |
D730 road
The D730 road is a regional route in southwestern France that provides access to the coastal town of Royan and connects it with other nearby localities.
|
E888695
|
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: D730 road | Statement: [Royan, roadAccessVia, D730 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D730 road Context triple: [Royan, roadAccessVia, D730 road]
-
A.
D7 road
The D7 road is a regional route in southern France that serves as a key local connector for the town of Saint-Affrique and surrounding areas.
-
B.
D76 road
The D76 road is a scenic mountain route in southeastern France renowned for its dramatic cliffside passage through the Combe Laval gorge.
-
C.
R70 road
The R70 road is a regional route in South Africa that links the mining city of Welkom with other towns in the Free State province.
-
D.
D970 road
The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
-
E.
D137 road
The D137 road is a departmental highway in western France that serves as a key regional route connecting towns such as Marans in the Charente-Maritime department.
- 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: D730 road Triple: [Royan, roadAccessVia, D730 road]
Generated description
The D730 road is a regional route in southwestern France that provides access to the coastal town of Royan and connects it with other nearby localities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D730 road Target entity description: The D730 road is a regional route in southwestern France that provides access to the coastal town of Royan and connects it with other nearby localities.
-
A.
D7 road
The D7 road is a regional route in southern France that serves as a key local connector for the town of Saint-Affrique and surrounding areas.
-
B.
D76 road
The D76 road is a scenic mountain route in southeastern France renowned for its dramatic cliffside passage through the Combe Laval gorge.
-
C.
R70 road
The R70 road is a regional route in South Africa that links the mining city of Welkom with other towns in the Free State province.
-
D.
D970 road
The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
-
E.
D137 road
The D137 road is a departmental highway in western France that serves as a key regional route connecting towns such as Marans in the Charente-Maritime department.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7442439dc8190af59f9c8d0637c01 |
completed | April 9, 2026, 6:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb11a264c8190829ff89f0b13d063 |
completed | April 14, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69deb4deef988190bfcf9a9529738899 |
completed | April 14, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb54876ac81909222a7c25bccefe5 |
completed | April 14, 2026, 9:44 p.m. |
Created at: April 8, 2026, 9:19 p.m.