Triple
T3464362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Fontainebleau |
E73099
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Porte Dorée
Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
|
E360507
|
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: Porte Dorée | Statement: [Château de Fontainebleau, hasPart, Porte Dorée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porte Dorée Context triple: [Château de Fontainebleau, hasPart, Porte Dorée]
-
A.
Porte Dauphine
Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
-
B.
Porte Guillaume
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
-
C.
Porte Molitor
Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
-
D.
Porte de la Chapelle
Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
-
E.
Porte de Vincennes
Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
- 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: Porte Dorée Triple: [Château de Fontainebleau, hasPart, Porte Dorée]
Generated description
Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porte Dorée Target entity description: Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
-
A.
Porte Dauphine
Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
-
B.
Porte Guillaume
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
-
C.
Porte Molitor
Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
-
D.
Porte de la Chapelle
Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
-
E.
Porte de Vincennes
Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0dc100819084bb0c355c7bb15b |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680412c0819086da51a05b24a676 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b368d21f7c819092660301b7d840db |
completed | March 13, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3694e92b8819082d54a56d901e9f8 |
completed | March 13, 2026, 1:33 a.m. |
Created at: March 8, 2026, 3:17 p.m.