Triple
T7292159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue d'Arlon |
E164422
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Luxembourg Square |
E152598
|
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: Luxembourg Square | Statement: [Rue d'Arlon, near, Luxembourg Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxembourg Square Context triple: [Rue d'Arlon, near, Luxembourg Square]
-
A.
Luxembourg Square
chosen
Luxembourg Square is a prominent public square in Brussels, Belgium, known for its location in the European Quarter opposite the European Parliament and its lively cafés and terraces.
-
B.
Princess Square
Princess Square is a central shopping centre in Bracknell, England, featuring a range of retail stores and services.
-
C.
Princes Square
Princes Square is an upmarket shopping and dining complex in Glasgow city centre, known for its stylish boutiques, restaurants, and distinctive interior design.
-
D.
Victoriei Square
Victoriei Square is a major public square and traffic hub in central Bucharest, Romania, known for its government buildings, offices, and cultural institutions.
-
E.
Neude square
Neude square is a central and lively public square in Utrecht, Netherlands, known for its cafés, events, and historic surroundings.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6fc5788190b1b339d051f93c22 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedfa4d08190997a692b81309309 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3 p.m.