Triple
T12042151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachov District |
E286688
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Tachov |
E286678
|
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: Tachov | Statement: [Tachov District, administrativeCenter, Tachov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tachov Context triple: [Tachov District, administrativeCenter, Tachov]
-
A.
Tachov
chosen
Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
-
B.
Tuchów
Tuchów is a small historic town in southern Poland known for its religious pilgrimage site and traditional regional culture.
-
C.
Turbacz
Turbacz is the highest peak of Poland’s Gorce Mountains, known for its extensive forested slopes and panoramic views, and as a popular destination for hikers.
-
D.
Tuchan
Tuchan is a small commune in southern France’s Aude department, known for its wine production and scenic location in the Corbières hills.
-
E.
Olecko
Olecko is a small town in northeastern Poland known for its lakeside setting and location within the historic region of Masuria.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f649dbf081908e76c45e362217c1 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.