Triple
T26453027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voßstraße |
E665404
|
entity |
| Predicate | cityDistrictHistory |
P77469
|
FINISHED |
| Object | heavily damaged during World War II |
—
|
LITERAL 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: heavily damaged during World War II | Statement: [Voßstraße, cityDistrictHistory, heavily damaged during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistrictHistory Context triple: [Voßstraße, cityDistrictHistory, heavily damaged during World War II]
-
A.
regionHistory
Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
-
B.
focusCityHistory
Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
-
C.
hasHistoricDistrict
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
D.
architectureHistory
Indicates a historical or developmental relationship between an entity and its architectural evolution, style, or significant architectural events over time.
-
E.
associatedWithCityHistory
chosen
Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61266f0e88190aea95f89ba2bef5c |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:07 a.m.