Triple
T17204033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tevfik Fikret |
E417552
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Şermin |
E414544
|
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: Şermin | Statement: [Tevfik Fikret, notableWork, Şermin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şermin Context triple: [Tevfik Fikret, notableWork, Şermin]
-
A.
Şermin
chosen
Şermin is a collection of didactic and lyrical poems for children by the influential Turkish poet Tevfik Fikret.
-
B.
Shemiran
Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
-
C.
Sejjil
Sejjil is a solid-fueled, medium-range ballistic missile developed by Iran, notable for its mobility and potential to carry conventional or unconventional warheads.
-
D.
Shejitan
Shejitan is the historic Imperial Altar of Earth and Harvests in Beijing, originally used for state rituals during the Ming and Qing dynasties.
-
E.
Şahmerdan
Şahmerdan is a short story collection by renowned Turkish writer Sait Faik Abasıyanık, reflecting his modernist style and focus on everyday Istanbul life.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db1e01c81909db0491fd9f49bed |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.