Triple
T1757513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiserslautern |
E38581
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Trikala |
E78255
|
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: Trikala | Statement: [Kaiserslautern, twinnedWith, Trikala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trikala Context triple: [Kaiserslautern, twinnedWith, Trikala]
-
A.
Trikala
chosen
Trikala is a historic city in central Greece known for its role in ancient Thessaly and its modern reputation as a model of smart, sustainable urban development.
-
B.
Grevena
Grevena is a small city in northern Greece known for its mountainous surroundings, rich natural landscapes, and production of mushrooms and dairy products.
-
C.
Volos
Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
-
D.
Kilkis
Kilkis is a town in northern Greece that serves as an important regional center in Central Macedonia, known for its role in the Balkan Wars and its surrounding agricultural plain.
-
E.
Karditsa
Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643ce88481909d2feef3c5fd849f |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98c303081908346dc66ad3575a5 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.