Triple
T7263152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw metropolitan area |
E159704
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Konstancin-Jeziorna |
E881705
|
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: Konstancin-Jeziorna | Statement: [Warsaw metropolitan area, containsCity, Konstancin-Jeziorna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konstancin-Jeziorna Context triple: [Warsaw metropolitan area, containsCity, Konstancin-Jeziorna]
-
A.
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.
-
B.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
C.
Wołomin
chosen
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
D.
Świdnik
Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
-
E.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac9fab88190881ab9e1cd94cdc1 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de21a949508190ad16b061ead5ed24 |
completed | April 14, 2026, 11:14 a.m. |
Created at: March 27, 2026, 2:57 p.m.