Triple
T9922521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valbo Köpcentrum |
E187830
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Valbo Köpcentrum |
E187830
|
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: Valbo Köpcentrum | Statement: [Valbo Köpcentrum, hasName, Valbo Köpcentrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valbo Köpcentrum Context triple: [Valbo Köpcentrum, hasName, Valbo Köpcentrum]
-
A.
Valbo Köpcentrum
chosen
Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
-
B.
Viby Centret shopping centre
Viby Centret shopping centre is a local retail and service hub in the Viby J district, offering a range of shops, dining options, and everyday amenities.
-
C.
Oslo City shopping centre
Oslo City shopping centre is a large, centrally located shopping mall in downtown Oslo, Norway, featuring numerous retail stores, restaurants, and services.
-
D.
Jessheim Storsenter
Jessheim Storsenter is a large regional shopping mall in Jessheim, Norway, featuring a wide range of retail stores, dining options, and services.
-
E.
Kauppatori
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.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56c7da88190ac37986a2e766b1e |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e019f788190a0106b60c8a39efa |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.