Triple
T11216521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strömstad harbor |
E265451
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Strömstad town center |
E52338
|
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: Strömstad town center | Statement: [Strömstad harbor, adjacentTo, Strömstad town center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strömstad town center Context triple: [Strömstad harbor, adjacentTo, Strömstad town center]
-
A.
Strömstad town hall
Strömstad town hall is the main administrative and civic building of the Swedish coastal town of Strömstad, serving as the center of local government and public affairs.
-
B.
Strömstad
chosen
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
C.
Stora Torg
Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
-
D.
Stålstaden
Stålstaden is a Swedish city nickname referring to Eskilstuna’s historic role as a major steel and metalworking industrial center.
-
E.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad1c57908190a5c65ea4738722e3 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.