Triple
T11245774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai, Miyagi, Japan |
E266198
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object | Rennes, France |
E68501
|
NE FINISHED |
How this triple was built (2 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: Rennes, France | Statement: [Sendai, Miyagi, Japan, twinCity, Rennes, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rennes, France Context triple: [Sendai, Miyagi, Japan, twinCity, Rennes, France]
-
A.
Rennes
chosen
Rennes is the capital city of France’s Brittany region, known for its historic medieval center, vibrant student population, and role as a major cultural and economic hub in western France.
-
B.
Brest, Brittany
Brest, Brittany is a major French naval port and maritime city in western France, known as a key base for the country's strategic submarine forces.
-
C.
Roscoff, France
Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
-
D.
Douai, France
Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
-
E.
Lannion, France
Lannion is a coastal town in Brittany, northwestern France, known as a technology hub and gateway to the Pink Granite Coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad8c3bec8190987451ab73e79011 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 8, 2026, 9:31 p.m.