Triple
T21378140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thabor Park |
E527266
|
entity |
| Predicate | isOperatedBy |
P86
|
FINISHED |
| Object | City of Rennes |
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: City of Rennes | Statement: [Thabor Park, isOperatedBy, City of Rennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Rennes Context triple: [Thabor Park, isOperatedBy, City of Rennes]
-
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.
Nantes
Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
-
C.
City of Nancy
The City of Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed squares.
-
D.
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.
-
E.
Rennes Métropole
Rennes Métropole is the intercommunal metropolitan authority centered on the city of Rennes, coordinating urban planning, transport, and development for the surrounding area in Brittany, France.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ca5e1c81909b06958459c553dc |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb4267b08190afb8529b98edd76f |
completed | May 17, 2026, 12:57 p.m. |
Created at: April 16, 2026, 5:11 p.m.