Triple
T9766469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstanz |
E237005
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Tábor |
E299973
|
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: Tábor | Statement: [Konstanz, twinnedWith, Tábor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tábor Context triple: [Konstanz, twinnedWith, Tábor]
-
A.
Tábor
chosen
Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
-
B.
Tuchkovo
Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
-
C.
Turośl
Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
-
D.
Turiec
Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
-
E.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a15e408190909745cb1c30937d |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf965e88190b505ce160f77e9b7 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.