Triple
T11111619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mokotów |
E262769
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Górny Mokotów |
E262769
|
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: Górny Mokotów | Statement: [Mokotów, contains, Górny Mokotów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Górny Mokotów Context triple: [Mokotów, contains, Górny Mokotów]
-
A.
Górowo Hills
Górowo Hills is a hilly geographical region in northern Poland known for its rolling landscapes surrounding the town of Górowo Iławeckie.
-
B.
Mokotów
chosen
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
C.
Gurwik-Górska
Gurwik-Górska is the Polish maiden surname of the renowned Art Deco painter Tamara de Lempicka.
-
D.
Babia Góra
Babia Góra is a prominent mountain on the Polish–Slovak border, renowned for its rugged landscapes, unique alpine flora, and status as a UNESCO-designated biosphere reserve.
-
E.
Lisia Góra
Lisia Góra is a village in southern Poland that serves as the administrative seat of Gmina Lisia Góra in the Lesser Poland Voivodeship.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa42ec4819085a2e802e00d9f02 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462f5fe708190835e427b6bf99f13 |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:27 p.m.