Triple
T16162122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square Montholon |
E392203
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Rue Lafayette |
E203032
|
NE FINISHED |
How this triple was built (2 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: Rue Lafayette | Statement: [Square Montholon, locatedOn, Rue Lafayette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rue Lafayette Context triple: [Square Montholon, locatedOn, Rue Lafayette]
-
A.
Rue Duroc
Rue Duroc is a street in Paris, France, located in the 7th arrondissement and known for giving its name to the nearby Duroc metro station.
-
B.
avenue Joséphine
Avenue Joséphine was the former name of what is now known as Avenue Marceau, a notable Parisian thoroughfare.
-
C.
Bissonnet Street
Bissonnet Street is a major thoroughfare in the Houston, Texas area, running through several neighborhoods and serving as an important east–west commuter and commercial corridor.
-
D.
Dupont Street
Dupont Street is a notable thoroughfare in Toronto, Ontario, known for its mix of residential, commercial, and industrial areas along the city’s midtown west side.
-
E.
Rue La Fayette
chosen
Rue La Fayette is a major Parisian thoroughfare known for its Haussmann-era architecture and proximity to landmarks like the Gare du Nord and Galeries Lafayette.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:02 a.m.