Triple
T3042072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reşat Nuri Güntekin |
E83152
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
|
E320032
|
NE FINISHED |
How this triple was built (4 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: Damga | Statement: [Reşat Nuri Güntekin, notableWork, Damga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damga Context triple: [Reşat Nuri Güntekin, notableWork, Damga]
-
A.
Damkina
Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
-
B.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
C.
Damrak
Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
-
D.
Gariepdam
Gariepdam is a small South African town on the banks of the Gariep Dam, known primarily as a holiday and water-sport destination.
-
E.
Birgi
Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Damga Triple: [Reşat Nuri Güntekin, notableWork, Damga]
Generated description
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damga Target entity description: Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
A.
Damkina
Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
-
B.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
C.
Damrak
Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
-
D.
Gariepdam
Gariepdam is a small South African town on the banks of the Gariep Dam, known primarily as a holiday and water-sport destination.
-
E.
Birgi
Birgi is a small village in western Sicily, Italy, known for its proximity to Trapani–Birgi Airport and the coastal city of Trapani.
- F. None of above. chosen
Provenance (5 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5b92088190971bed04e65c5917 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded01a1481908be7d44c2bf4e638 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df626de08190891d9a5e197d5b20 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dff55d5881909b14239a4232e617 |
completed | March 11, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:01 p.m.