Triple
T7411714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verden (Aller) |
E171018
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Płock |
E229370
|
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: Płock | Statement: [Verden (Aller), hasTwinTown, Płock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Płock Context triple: [Verden (Aller), hasTwinTown, Płock]
-
A.
Płock
chosen
Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
-
B.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
-
E.
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e686db808190a2aa975a20e69696 |
completed | April 18, 2026, 8:16 p.m. |
Created at: March 27, 2026, 3:11 p.m.