Triple
T5688741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powązki Military Cemetery |
E125376
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Wola |
E39215
|
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: Wola | Statement: [Powązki Military Cemetery, locatedInNeighborhood, Wola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wola Context triple: [Powązki Military Cemetery, locatedInNeighborhood, Wola]
-
A.
Mokotów
Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
-
B.
Bielany
Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
-
C.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
D.
Zduńska Wola
Zduńska Wola is a town in central Poland known historically as a textile and industrial center.
-
E.
Wola district
chosen
Wola district is a central borough of Warsaw, Poland, known for its historical significance, rapid postwar development, and mix of industrial heritage with modern urban infrastructure.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e1c6148190aeae7620bd9ee9d4 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c124e449d481909a6aa8e1c6494322 |
completed | March 23, 2026, 11:32 a.m. |
Created at: March 22, 2026, 3:44 p.m.