Triple
T7784820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip VI of France |
E187214
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Nogent-le-Roi
Nogent-le-Roi is a historic commune in northern France notable for its medieval heritage and royal connections.
|
E631975
|
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: Nogent-le-Roi | Statement: [Philip VI of France, deathPlace, Nogent-le-Roi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogent-le-Roi Context triple: [Philip VI of France, deathPlace, Nogent-le-Roi]
-
A.
Nogent-sur-Seine
Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
-
B.
Nogent
Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
-
C.
Nogent-le-Rotrou
Nogent-le-Rotrou is a historic town in the Eure-et-Loir department of northern France, known for its medieval château and location in the Perche region.
-
D.
Gonesse
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
-
E.
Élancourt
Élancourt is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
- 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: Nogent-le-Roi Triple: [Philip VI of France, deathPlace, Nogent-le-Roi]
Generated description
Nogent-le-Roi is a historic commune in northern France notable for its medieval heritage and royal connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nogent-le-Roi Target entity description: Nogent-le-Roi is a historic commune in northern France notable for its medieval heritage and royal connections.
-
A.
Nogent-sur-Seine
Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
-
B.
Nogent
Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
-
C.
Nogent-le-Rotrou
chosen
Nogent-le-Rotrou is a historic town in the Eure-et-Loir department of northern France, known for its medieval château and location in the Perche region.
-
D.
Gonesse
Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
-
E.
Élancourt
Élancourt is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
- F. None of above.
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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf210f508190b215a0ab95192689 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d3697848190be759069962a8f00 |
completed | April 2, 2026, 11:04 a.m. |
| NEDg | Description generation | batch_69ce4f556a408190b404481a32b2457b |
completed | April 2, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce503737a4819083ebf9f410eac826 |
completed | April 2, 2026, 11:17 a.m. |
Created at: March 30, 2026, 4:23 p.m.