Triple
T22758447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roazhon Park |
E562914
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Tribune Mordelles
Tribune Mordelles is a spectator stand within Roazhon Park, the football stadium in Rennes, France.
|
E1552842
|
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: Tribune Mordelles | Statement: [Roazhon Park, hasStand, Tribune Mordelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tribune Mordelles Context triple: [Roazhon Park, hasStand, Tribune Mordelles]
-
A.
Escalles
Escalles is a small coastal village in northern France, known for its scenic location near the white cliffs of Cap Blanc-Nez overlooking the English Channel.
-
B.
Morsella
Morsella is a small locality (frazione) within the municipality of Vigevano in the Lombardy region of northern Italy.
-
C.
Bieudron
Bieudron is a small locality within the municipality of Nendaz in the canton of Valais, Switzerland, known for its alpine setting and proximity to major hydroelectric infrastructure.
-
D.
Sabellic
Sabellic is an alternative name for the Sabellian group of ancient Italic languages spoken in central and southern Italy before the dominance of Latin.
-
E.
Treron
Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
- 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: Tribune Mordelles Triple: [Roazhon Park, hasStand, Tribune Mordelles]
Generated description
Tribune Mordelles is a spectator stand within Roazhon Park, the football stadium in Rennes, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tribune Mordelles Target entity description: Tribune Mordelles is a spectator stand within Roazhon Park, the football stadium in Rennes, France.
-
A.
Escalles
Escalles is a small coastal village in northern France, known for its scenic location near the white cliffs of Cap Blanc-Nez overlooking the English Channel.
-
B.
Morsella
Morsella is a small locality (frazione) within the municipality of Vigevano in the Lombardy region of northern Italy.
-
C.
Bieudron
Bieudron is a small locality within the municipality of Nendaz in the canton of Valais, Switzerland, known for its alpine setting and proximity to major hydroelectric infrastructure.
-
D.
Sabellic
Sabellic is an alternative name for the Sabellian group of ancient Italic languages spoken in central and southern Italy before the dominance of Latin.
-
E.
Treron
Treron is a genus of fruit-eating green pigeons found across parts of Asia and Africa, known for their predominantly green plumage and arboreal habits.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7a8ca481909953dcd6fbcc5fcf |
completed | April 29, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b981716888190b86a60cd134ee6eb |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b9903c4488190943f4fd15b17bc70 |
completed | May 18, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b99b87e4881909142c296be1c9bff |
completed | May 18, 2026, 10:59 p.m. |
Created at: April 17, 2026, 3:25 p.m.