Triple
T8597820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beykoz |
E203594
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Polonezköy
Polonezköy is a historic village on Istanbul’s Asian side known for its 19th-century Polish immigrant heritage, rural atmosphere, and forested surroundings.
|
E751920
|
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: Polonezköy | Statement: [Beykoz, contains, Polonezköy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polonezköy Context triple: [Beykoz, contains, Polonezköy]
-
A.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
B.
Poniatowa
Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
-
C.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
-
D.
Grabow
Grabow is a small town in northern Germany, known for its historic architecture and location along the Elde River in the state of Mecklenburg-Vorpommern.
-
E.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
- 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: Polonezköy Triple: [Beykoz, contains, Polonezköy]
Generated description
Polonezköy is a historic village on Istanbul’s Asian side known for its 19th-century Polish immigrant heritage, rural atmosphere, and forested surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polonezköy Target entity description: Polonezköy is a historic village on Istanbul’s Asian side known for its 19th-century Polish immigrant heritage, rural atmosphere, and forested surroundings.
-
A.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
-
B.
Poniatowa
Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
-
C.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
-
D.
Grabow
Grabow is a small town in northern Germany, known for its historic architecture and location along the Elde River in the state of Mecklenburg-Vorpommern.
-
E.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3332a008190bbeba37bcfc355cb |
completed | April 2, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_69cef52000048190bc5451cfb6446ced |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef809df548190b4f9ecc709b3b065 |
completed | April 2, 2026, 11:13 p.m. |
Created at: March 30, 2026, 6:24 p.m.