Triple
T36656273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wola |
E904996
|
entity |
| Predicate | isNeighboringDistrictOf |
P168028
|
FINISHED |
| Object | Śródmieście, Warsaw |
—
|
NE NERFINISHED |
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: Śródmieście, Warsaw | Statement: [Wola, isNeighboringDistrictOf, Śródmieście, Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNeighboringDistrictOf Context triple: [Wola, isNeighboringDistrictOf, Śródmieście, Warsaw]
-
A.
isInnerDistrictOf
Indicates that one district is geographically or administratively located within and subordinate to another, larger district.
-
B.
hasAdjacentArrondissement
Indicates that one arrondissement is directly next to or shares a boundary with another arrondissement.
-
C.
neighbouringMunicipality
Indicates that one municipality directly borders and is adjacent to another municipality.
-
D.
isNeighboringCityOf
Indicates that one city is geographically adjacent to or directly borders another city.
-
E.
hasNeighbouringDivision
chosen
Indicates that one division is directly adjacent to and shares a boundary with another division.
- F. None of above.
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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.