Triple
T7173948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muggia |
E167270
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Mugla
Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
|
E653276
|
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: Mugla | Statement: [Muggia, nativeName, Mugla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mugla Context triple: [Muggia, nativeName, Mugla]
-
A.
Gazipaşa
Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
-
B.
Manavgat
Manavgat is a coastal town and popular tourist district in southern Turkey, known for its river, waterfalls, and proximity to the ancient city of Side.
-
C.
Torbalı
Torbalı is a district and rapidly growing suburban area of İzmir, Turkey, known for its industrial zones and connection to the city via the İZBAN commuter rail system.
-
D.
Menemen
Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
-
E.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
- 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: Mugla Triple: [Muggia, nativeName, Mugla]
Generated description
Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mugla Target entity description: Mugla is the Slovene name for Muggia, a coastal town in northeastern Italy near Trieste.
-
A.
Gazipaşa
Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
-
B.
Manavgat
Manavgat is a coastal town and popular tourist district in southern Turkey, known for its river, waterfalls, and proximity to the ancient city of Side.
-
C.
Torbalı
Torbalı is a district and rapidly growing suburban area of İzmir, Turkey, known for its industrial zones and connection to the city via the İZBAN commuter rail system.
-
D.
Menemen
Menemen is a district and town in İzmir Province, Turkey, known for its agricultural production and as part of the greater İzmir metropolitan area.
-
E.
Kanık
Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88c5b708190ab81622ea82c2d23 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db0401f481909cc09c2b8c23cd24 |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dbb0131081908dd70af3c3110b4e |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc951d88819098c6053ddd2e981b |
completed | March 28, 2026, 1:50 p.m. |
Created at: March 27, 2026, 2:48 p.m.