Triple
T17941989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namık Kemal |
E448608
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Tekirdağ |
E166458
|
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: Tekirdağ | Statement: [Namık Kemal, birthPlace, Tekirdağ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tekirdağ Context triple: [Namık Kemal, birthPlace, Tekirdağ]
-
A.
Kırklareli
Kırklareli is a city in northwestern Turkey known for its location near the Bulgarian border, agricultural economy, and historical Ottoman-era architecture.
-
B.
Tekirdağ Province
chosen
Tekirdağ Province is a region in northwestern Turkey known for its coastal location along the Sea of Marmara, agricultural production, and growing industrial and port activities.
-
C.
Edirne Vilayet
Edirne Vilayet was an administrative province of the late Ottoman Empire centered on the city of Edirne in the European (Rumelian) part of the empire.
-
D.
Balıkesir
Balıkesir is a city in northwestern Turkey known for its agricultural economy, proximity to both the Marmara and Aegean seas, and role as the administrative center of Balıkesir Province.
-
E.
Zonguldak
Zonguldak is a port city on Turkey’s Black Sea coast known historically for its coal mining industry.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad96a9008190867fac99588c43cf |
completed | April 19, 2026, 10:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03379f901481908091ce9d22ea44c0 |
completed | May 12, 2026, 2:22 p.m. |
Created at: April 10, 2026, 10:21 a.m.