Triple
T9815433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya Province |
E238390
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Taraklı
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
|
E823360
|
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: Taraklı | Statement: [Sakarya Province, hasCity, Taraklı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taraklı Context triple: [Sakarya Province, hasCity, Taraklı]
-
A.
Tarak
Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
-
B.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Takr
Takr is the ISO 15924 code assigned to the historical Takri script used for several North Indian languages.
-
E.
Rok-Tahk
Rok-Tahk is a young Brikar girl in Star Trek: Prodigy who, despite her massive and intimidating rock-like appearance, is gentle, shy, and gifted in science and xenobiology.
- 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: Taraklı Triple: [Sakarya Province, hasCity, Taraklı]
Generated description
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taraklı Target entity description: Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
-
A.
Tarak
Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
-
B.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
C.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
D.
Takr
Takr is the ISO 15924 code assigned to the historical Takri script used for several North Indian languages.
-
E.
Rok-Tahk
Rok-Tahk is a young Brikar girl in Star Trek: Prodigy who, despite her massive and intimidating rock-like appearance, is gentle, shy, and gifted in science and xenobiology.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f341648190bf8343e1124085cb |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc6c64dc8190979be34255dc22e5 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cf7ce46c8190a7383086eb667b51 |
completed | April 5, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0034dc081908182e3f873a2c584 |
completed | April 5, 2026, 2:59 a.m. |
Created at: March 30, 2026, 8:30 p.m.