Triple
T13327322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankyra |
E317473
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ánkyra
Ánkyra is an ancient city in central Anatolia, known historically as the predecessor of modern-day Ankara, the capital of Turkey.
|
E1034019
|
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: Ánkyra | Statement: [Ankyra, hasAlternativeName, Ánkyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ánkyra Context triple: [Ankyra, hasAlternativeName, Ánkyra]
-
A.
Havsa
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
-
B.
Attalia
Attalia was an ancient port city in Pamphylia (modern-day Antalya, Turkey) that served as a key coastal hub in the eastern Mediterranean.
-
C.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
-
D.
Antakya
Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
-
E.
Sincan
Sincan is a district and rapidly growing suburban area of Turkey’s capital region, located to the west of central Ankara.
- 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: Ánkyra Triple: [Ankyra, hasAlternativeName, Ánkyra]
Generated description
Ánkyra is an ancient city in central Anatolia, known historically as the predecessor of modern-day Ankara, the capital of Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ánkyra Target entity description: Ánkyra is an ancient city in central Anatolia, known historically as the predecessor of modern-day Ankara, the capital of Turkey.
-
A.
Havsa
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
-
B.
Attalia
Attalia was an ancient port city in Pamphylia (modern-day Antalya, Turkey) that served as a key coastal hub in the eastern Mediterranean.
-
C.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
-
D.
Antakya
Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
-
E.
Sincan
Sincan is a district and rapidly growing suburban area of Turkey’s capital region, located to the west of central Ankara.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992d3b0881909732fbb8db98e44c |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2f69a88190b11e61a922786fc4 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f71fe3cda881909916f7aac0664ead |
completed | May 3, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72090b6b081908870801fdb679f57 |
completed | May 3, 2026, 10:16 a.m. |
Created at: April 9, 2026, 9:30 p.m.