Triple
T9361831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pest |
E225296
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Andrássy Avenue |
E70150
|
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: Andrássy Avenue | Statement: [Pest, contains, Andrássy Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrássy Avenue Context triple: [Pest, contains, Andrássy Avenue]
-
A.
Andrássy Avenue
chosen
Andrássy Avenue is a grand, historic boulevard in Budapest renowned for its elegant architecture, cultural institutions, and status as a UNESCO World Heritage Site.
-
B.
Váci Street
Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
-
C.
Kazinczy Street
Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
-
D.
Dohány Street
Dohány Street is a prominent thoroughfare in central Budapest, Hungary, known especially for hosting the historic Dohány Street Synagogue and forming part of the city’s old Jewish quarter.
-
E.
Grand Boulevard of Budapest
The Grand Boulevard of Budapest is a major ring road and bustling urban thoroughfare lined with shops, cafes, and historic buildings, connecting several key districts across the city.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ca7308190818f27f1faf94a53 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3eaf2208190967a3a8e82a4070b |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:42 p.m.