Triple
T12967151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muğla Province |
E321290
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Muğla
Muğla is a city in southwestern Turkey that serves as an administrative and commercial center for a region famous for its Aegean and Mediterranean coastal resorts.
|
E321290
|
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: Muğla | Statement: [Muğla Province, capital, Muğla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muğla Context triple: [Muğla Province, capital, Muğla]
-
A.
Muğla Province
Muğla Province is a southwestern Turkish region along the Aegean and Mediterranean coasts, known for major resort towns like Bodrum, Marmaris, and Fethiye and its rich ancient Carian heritage.
-
B.
Marmaris
Marmaris is a popular Turkish coastal resort city known for its beaches, marinas, and vibrant nightlife along the Mediterranean.
-
C.
Alanya
Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
-
D.
Denizli
Denizli is a major industrial and commercial city in western Turkey, known for its textile production and proximity to the famous Pamukkale travertine terraces.
-
E.
Mugla
Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
- 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: Muğla Triple: [Muğla Province, capital, Muğla]
Generated description
Muğla is a city in southwestern Turkey that serves as an administrative and commercial center for a region famous for its Aegean and Mediterranean coastal resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muğla Target entity description: Muğla is a city in southwestern Turkey that serves as an administrative and commercial center for a region famous for its Aegean and Mediterranean coastal resorts.
-
A.
Muğla Province
chosen
Muğla Province is a southwestern Turkish region along the Aegean and Mediterranean coasts, known for major resort towns like Bodrum, Marmaris, and Fethiye and its rich ancient Carian heritage.
-
B.
Marmaris
Marmaris is a popular Turkish coastal resort city known for its beaches, marinas, and vibrant nightlife along the Mediterranean.
-
C.
Alanya
Alanya is a popular Mediterranean resort city in southern Turkey, known for its beaches, historic castle, and role as a major tourism hub.
-
D.
Denizli
Denizli is a major industrial and commercial city in western Turkey, known for its textile production and proximity to the famous Pamukkale travertine terraces.
-
E.
Mugla
Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
- F. None of above.
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19226eb881908f76134a04e72548 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd1bdca600819081ee087a071f7684 |
completed | May 7, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1cb6d2b88190a5976197144277f6 |
completed | May 7, 2026, 11:13 p.m. |
Created at: April 9, 2026, 8:30 p.m.