Triple
T27807569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Üç Şehitler Destanı |
E702423
|
entity |
| Predicate | belongsToSeriesOrCycle |
P131220
|
FINISHED |
| Object | Dağlarca’s war-themed poems |
—
|
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: Dağlarca’s war-themed poems | Statement: [Üç Şehitler Destanı, belongsToSeriesOrCycle, Dağlarca’s war-themed poems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSeriesOrCycle Context triple: [Üç Şehitler Destanı, belongsToSeriesOrCycle, Dağlarca’s war-themed poems]
-
A.
belongsToSeriesRange
chosen
Indicates that something is part of, or falls within, a specified series or sequence range.
-
B.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
-
C.
belongsToSeriesEntry
Indicates that something is an individual installment or component within a larger series or sequence.
-
D.
belongsToTypeSeries
Indicates that something is a member or instance of a particular type series or classification series.
-
E.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 27, 2026, 5:40 p.m.