Triple
T12817295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mylasa |
E306433
|
entity |
| Predicate | modernNameOfArea |
P74746
|
FINISHED |
| Object |
Milas
Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
|
E1066359
|
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: Milas | Statement: [Mylasa, modernNameOfArea, Milas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milas Context triple: [Mylasa, modernNameOfArea, Milas]
-
A.
Muş
Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
-
B.
Malatya
Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
-
C.
Kilis
Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
-
D.
Cizre
Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
-
E.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
- 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: Milas Triple: [Mylasa, modernNameOfArea, Milas]
Generated description
Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milas Target entity description: Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
-
A.
Muş
Muş is a city in eastern Turkey known for its historical significance, traditional Kurdish and Turkish culture, and surrounding mountainous landscapes.
-
B.
Malatya
Malatya is a major city in eastern Turkey known for its apricot production and role as a regional economic and cultural center.
-
C.
Kilis
Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
-
D.
Cizre
Cizre is a historic town in southeastern Turkey near the Syrian and Iraqi borders, known as a cultural and commercial center of the Upper Mesopotamian region.
-
E.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9d00088190ac0f5d60e1de7a7c |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d12cd88190b6e205ad98296ed9 |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c33c2f34819084502d5f03f09ddd |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:31 p.m.