Triple
T4478504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveavägen |
E100068
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | City (Norrmalm) |
E97572
|
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: City (Norrmalm) | Statement: [Sveavägen, locatedInNeighborhood, City (Norrmalm)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City (Norrmalm) Context triple: [Sveavägen, locatedInNeighborhood, City (Norrmalm)]
-
A.
City – Norrmalm
City – Norrmalm is a central district of Stockholm known for its major commercial areas, cultural institutions, and key transport hubs.
-
B.
Norrmalm
chosen
Norrmalm is a central district of Stockholm, Sweden, known for its major commercial areas, cultural venues, and key transport hubs.
-
C.
Södermalm
Södermalm is a central island and district of Stockholm known for its vibrant cultural scene, historic architecture, and trendy shops, cafes, and nightlife.
-
D.
Östermalm
Östermalm is an affluent central district of Stockholm known for its upscale residential areas, embassies, and high-end shopping and dining.
-
E.
Old Town, Stockholm
Old Town, Stockholm is the historic medieval center of Sweden’s capital, known for its cobblestone streets, colorful buildings, and major institutions like the Swedish Academy and the Royal Palace.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356db0a008190ad39b68efc095b8d |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65140f9a08190856442534ff46e37 |
completed | March 15, 2026, 6:27 a.m. |
Created at: March 12, 2026, 11:35 p.m.