Triple
T32865983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Evangelical Cemetery in Łódź |
E840647
|
entity |
| Predicate | isPartOfTopic |
P52847
|
FINISHED |
| Object | history of Łódź |
—
|
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: history of Łódź | Statement: [Old Evangelical Cemetery in Łódź, isPartOfTopic, history of Łódź]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTopic Context triple: [Old Evangelical Cemetery in Łódź, isPartOfTopic, history of Łódź]
-
A.
includesTopics
Indicates that one entity contains, covers, or addresses the specified topics as part of its content or scope.
-
B.
consideredPartOf
chosen
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
-
C.
topicOfDiscourse
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
D.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:17 a.m.