Triple
T3110309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean Region |
E64933
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Muğla |
E321290
|
NE FINISHED |
How this triple was built (2 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: [Aegean Region, containsCity, Muğla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muğla Context triple: [Aegean Region, containsCity, Muğla]
-
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.
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.
-
C.
Antalya
Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
-
D.
Antalya Province
Antalya Province is a large Mediterranean coastal region in southwestern Turkey known for its major tourist resorts, beaches, and historical sites.
-
E.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada437c5e08190af22f6fa11cf9252 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261eb2e708190b192574d3f5862e6 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:04 p.m.