Triple
T13841219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Crillon |
E332659
|
entity |
| Predicate | hasRestaurant |
P4442
|
FINISHED |
| Object |
L’Ecrin
L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
|
E1063872
|
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: L’Ecrin | Statement: [Hôtel de Crillon, hasRestaurant, L’Ecrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Ecrin Context triple: [Hôtel de Crillon, hasRestaurant, L’Ecrin]
-
A.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
B.
L’Estaque
L’Estaque is a coastal district of Marseille in southern France, famed for its picturesque Mediterranean scenery that inspired numerous Impressionist and Post-Impressionist painters.
-
C.
Bassin Bleu
Bassin Bleu is a picturesque series of turquoise waterfalls and natural pools nestled in the mountains near Jacmel, Haiti, popular for swimming and hiking.
-
D.
Eau Bourde
Eau Bourde is a small river in southwestern France that flows through the commune of Gradignan in the Gironde department.
-
E.
Valée
Valée is a French surname most notably borne by Sylvain Charles Valée, a 19th-century French military officer and Marshal of France.
- 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: L’Ecrin Triple: [Hôtel de Crillon, hasRestaurant, L’Ecrin]
Generated description
L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L’Ecrin Target entity description: L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
-
A.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
B.
L’Estaque
L’Estaque is a coastal district of Marseille in southern France, famed for its picturesque Mediterranean scenery that inspired numerous Impressionist and Post-Impressionist painters.
-
C.
Bassin Bleu
Bassin Bleu is a picturesque series of turquoise waterfalls and natural pools nestled in the mountains near Jacmel, Haiti, popular for swimming and hiking.
-
D.
Eau Bourde
Eau Bourde is a small river in southwestern France that flows through the commune of Gradignan in the Gironde department.
-
E.
Valée
Valée is a French surname most notably borne by Sylvain Charles Valée, a 19th-century French military officer and Marshal of France.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ae5e4c8190ad85ad2968bc71b2 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7bb3bb7288190b981a9439304124d |
completed | May 3, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbac5a148190990ac56759e527cd |
completed | May 3, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:13 p.m.