Triple
T15831725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terreaux quarter |
E383886
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Place Louis Pradel
Place Louis Pradel is a central public square in Lyon, France, known for its modern urban design and proximity to major cultural institutions and transport hubs.
|
E1179060
|
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: Place Louis Pradel | Statement: [Terreaux quarter, hasPart, Place Louis Pradel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Louis Pradel Context triple: [Terreaux quarter, hasPart, Place Louis Pradel]
-
A.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
André Dussollier
André Dussollier is a renowned French actor known for his versatile performances in film, television, and theater since the 1970s.
-
D.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
E.
Jérôme Lindon
Jérôme Lindon was a prominent French publisher best known for directing Éditions de Minuit and championing avant-garde and politically engaged literature.
- 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: Place Louis Pradel Triple: [Terreaux quarter, hasPart, Place Louis Pradel]
Generated description
Place Louis Pradel is a central public square in Lyon, France, known for its modern urban design and proximity to major cultural institutions and transport hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Place Louis Pradel Target entity description: Place Louis Pradel is a central public square in Lyon, France, known for its modern urban design and proximity to major cultural institutions and transport hubs.
-
A.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
André Dussollier
André Dussollier is a renowned French actor known for his versatile performances in film, television, and theater since the 1970s.
-
D.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
E.
Jérôme Lindon
Jérôme Lindon was a prominent French publisher best known for directing Éditions de Minuit and championing avant-garde and politically engaged literature.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6433ac8190a3d3e0d573673ea3 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9bf7363c8190a65798028305b1da |
completed | May 9, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9c580d608190a7b3de11a924cba7 |
completed | May 9, 2026, 8:43 p.m. |
Created at: April 10, 2026, 4:49 a.m.