Triple
T8726165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahti |
E207135
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Tønsberg |
E112118
|
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: Tønsberg | Statement: [Lahti, twinTown, Tønsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tønsberg Context triple: [Lahti, twinTown, Tønsberg]
-
A.
Tønsberg
chosen
Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
-
B.
Sölvesborg
Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
-
C.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
-
D.
Sønderborg
Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
-
E.
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d158b0481908249610458f97306 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3391ff08190a725b0549fb0bc89 |
completed | April 4, 2026, 11:17 a.m. |
Created at: March 30, 2026, 6:36 p.m.