Triple
T8587642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidentinlinna |
E203345
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Kauppatori |
E746166
|
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: Kauppatori | Statement: [Presidentinlinna, location, Kauppatori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kauppatori Context triple: [Presidentinlinna, location, Kauppatori]
-
A.
Kauppatori
chosen
Kauppatori is Helsinki’s central seaside market square, known for its outdoor stalls, food vendors, and role as a major tourist and transport hub by the harbor.
-
B.
Nagyvásárcsarnok
Nagyvásárcsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand 19th-century architecture and bustling food and craft stalls.
-
C.
Valbo Köpcentrum
Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
-
D.
Rossmarkt
Rossmarkt is a central public square in Frankfurt am Main known for its historical significance and role as a busy commercial and transit hub.
-
E.
The Mart
The Mart is a massive commercial building in Chicago, historically known as the Merchandise Mart, that serves as a major hub for wholesale showrooms, offices, and design centers.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457dc76481908ec5ee31ad72e887 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb9716948190b0eb61ddf25fb333 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.