Triple
T22868711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muranów residential neighborhood |
E567126
|
entity |
| Predicate | hasMemorySites |
P150042
|
FINISHED |
| Object | monuments related to the Warsaw Ghetto |
—
|
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: monuments related to the Warsaw Ghetto | Statement: [Muranów residential neighborhood, hasMemorySites, monuments related to the Warsaw Ghetto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorySites Context triple: [Muranów residential neighborhood, hasMemorySites, monuments related to the Warsaw Ghetto]
-
A.
hasMemoryIn
Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
-
B.
hasUserMemory
Indicates that an entity maintains or is associated with stored information about a specific user.
-
C.
hasProtectedSites
Indicates that an entity possesses, manages, or includes one or more sites that are designated as protected areas.
-
D.
retainsMemoriesOf
Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
-
E.
hasSiteUse
Indicates that a site is used or designated for a particular function, activity, or purpose.
- F. None of above. chosen
Provenance (4 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f02c8b8819095cbee626f935fed |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:38 p.m.