Triple
T5503992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trosa Municipality |
E144394
|
entity |
| Predicate | hasHarbor |
P3007
|
FINISHED |
| Object | Trosa harbor |
E530692
|
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: Trosa harbor | Statement: [Trosa Municipality, hasHarbor, Trosa harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trosa harbor Context triple: [Trosa Municipality, hasHarbor, Trosa harbor]
-
A.
Harstad harbour
Harstad harbour is a coastal port area in the town of Harstad in northern Norway, serving as a hub for local maritime traffic, fishing, and Hurtigruten coastal express ships.
-
B.
Kristiansund harbor
Kristiansund harbor is a coastal port in the town of Kristiansund, Norway, known for its sheltered natural setting and role in regional fishing, shipping, and maritime transport.
-
C.
Trosa
chosen
Trosa is a small coastal town in Södermanland County, Sweden, known for its picturesque wooden houses, harbor, and tourism.
-
D.
Strömstad harbor
Strömstad harbor is a coastal port area in the Swedish town of Strömstad, known for its ferry connections, boating activities, and access to the surrounding archipelago.
-
E.
Orkdal Harbor
Orkdal Harbor is a local port facility in Orkland municipality in Trøndelag, Norway, serving regional maritime transport and industry.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0d21848190ae8c41561eca6342 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059c9a99881909863a0d1b061df72 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:32 p.m.