Triple
T12308346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kornhamnstorg |
E293409
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Järntorget |
E293408
|
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: Järntorget | Statement: [Kornhamnstorg, near, Järntorget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Järntorget Context triple: [Kornhamnstorg, near, Järntorget]
-
A.
Järntorget
chosen
Järntorget is a historic public square in Stockholm’s Old Town, long associated with trade and iron commerce and surrounded by well-preserved medieval and early modern buildings.
-
B.
Grubbegata
Grubbegata is a street in central Oslo, Norway, known for running through the area that houses key government buildings and institutions.
-
C.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
D.
Riddarhustorget
Riddarhustorget is a historic public square in central Stockholm, Sweden, situated on the island of Gamla stan and known for its proximity to the House of Nobility and other notable 17th-century buildings.
-
E.
Mårten Trotzigs gränd
Mårten Trotzigs gränd is a famously narrow, historic alley in Stockholm’s Old Town, known as one of the tightest streets in the city and a popular tourist attraction.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9d50b081908f0bdb7a2ca2832a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.