Triple
T91878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey |
E1845
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Ankara
Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
|
E11226
|
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: Ankara | Statement: [Turkey, capital, Ankara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankara Context triple: [Turkey, capital, Ankara]
-
A.
Istanbul
Istanbul is a transcontinental metropolis straddling Europe and Asia, renowned as Turkey’s cultural and economic hub and for its rich history as the former capital of the Byzantine and Ottoman Empires.
-
B.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
C.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
D.
Turkey
Turkey is a transcontinental nation bridging Europe and Asia, known for its strategic geopolitical position, rich Ottoman and Anatolian heritage, and role as a key regional power and NATO member.
-
E.
Algiers
Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
- 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: Ankara Triple: [Turkey, capital, Ankara]
Generated description
Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ankara Target entity description: Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
-
A.
Istanbul
Istanbul is a transcontinental metropolis straddling Europe and Asia, renowned as Turkey’s cultural and economic hub and for its rich history as the former capital of the Byzantine and Ottoman Empires.
-
B.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
C.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
D.
Turkey
Turkey is a transcontinental nation bridging Europe and Asia, known for its strategic geopolitical position, rich Ottoman and Anatolian heritage, and role as a key regional power and NATO member.
-
E.
Algiers
Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24faa6d608190920c8fc144e85e21 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c0147d481909c62cd45c8079519 |
completed | Feb. 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69a27c81e0d481909029bbe7b9c04ab0 |
completed | Feb. 28, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27cf9cc6c8190b8e666ea21c331f2 |
completed | Feb. 28, 2026, 5:28 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.