Triple
T15772855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yer Demir Gök Bakır |
E382404
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Ölmez Otu |
E1175349
|
NE 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: Ölmez Otu | Statement: [Yer Demir Gök Bakır, followedBy, Ölmez Otu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ölmez Otu Context triple: [Yer Demir Gök Bakır, followedBy, Ölmez Otu]
-
A.
Ölmez Otu
chosen
Ölmez Otu is a novel by Turkish author Yaşar Kemal that portrays rural Anatolian life and social struggles through his characteristic lyrical and realist style.
-
B.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
-
C.
Oestrum
Oestrum is a district or locality within the town of Rheinhausen in Germany.
-
D.
Mytishchi plant
The Mytishchi plant is a major Russian industrial facility known for manufacturing metro and rail rolling stock as part of Metrovagonmash’s production operations.
-
E.
Oxyria
Oxyria is a small genus of hardy, often alpine or arctic flowering plants in the knotweed family, known for species like mountain sorrel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051976d248190adddd3db9f758e22 |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909b467c819097ee87f51d2001da |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.