Triple
T821635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George V metro station |
E17759
|
entity |
| Predicate | servesTouristArea |
P7126
|
FINISHED |
| Object | Champs-Élysées |
E2172
|
NE FINISHED |
How this triple was built (3 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: Champs-Élysées | Statement: [George V metro station, servesTouristArea, Champs-Élysées]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champs-Élysées Context triple: [George V metro station, servesTouristArea, Champs-Élysées]
-
A.
Champs-Élysées
chosen
The Champs-Élysées is a famous Parisian avenue renowned for its luxury shops, cafés, theaters, and its role as a central site for national celebrations and major events.
-
B.
Boulevard Saint‑Germain
Boulevard Saint‑Germain is a major Parisian thoroughfare famed for its historic cafés, intellectual and literary heritage, and elegant Haussmann-era architecture on the Left Bank.
-
C.
Quai de Grenelle
Quai de Grenelle is a riverside thoroughfare along the Seine in Paris’s 15th arrondissement, known for its modern high-rise buildings and proximity to the Eiffel Tower.
-
D.
Boulevard Saint‑Michel
Boulevard Saint‑Michel is a major Parisian thoroughfare in the Latin Quarter, known for its bookstores, student life, and proximity to the Sorbonne and the Luxembourg Gardens.
-
E.
Avenue Jean Médecin
Avenue Jean Médecin is one of the main shopping and transit thoroughfares in central Nice, France, lined with stores, cafés, and key urban landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTouristArea Context triple: [George V metro station, servesTouristArea, Champs-Élysées]
-
A.
servesAttraction
chosen
Indicates that one entity functions as or provides a service that supports or enhances the experience of a particular attraction.
-
B.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
C.
isTouristDestination
Indicates that a place is recognized as a location people commonly visit for leisure, sightseeing, or travel.
-
D.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
E.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
- F. None of above.
Provenance (4 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab976094819086d676404d745750 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b6f0a0819086f8789773f8251e |
completed | March 4, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a4aa76a7808190ac7fd9ba1a4cebcb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.