Triple
T15805599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kütahya Province |
E383207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Domaniç
Domaniç is a rural district and town in western Turkey known for its forested landscapes and historical significance within the Kütahya region.
|
E1179164
|
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: Domaniç | Statement: [Kütahya Province, contains, Domaniç]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domaniç Context triple: [Kütahya Province, contains, Domaniç]
-
A.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
B.
Dajla
Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
-
C.
Grindeanu
Grindeanu is the surname of Sorin Grindeanu, a Romanian politician who has served as Prime Minister of Romania.
-
D.
Zvečan
Zvečan is a historic town and municipality in northern Kosovo, known for its medieval fortress and strategic location near Kosovska Mitrovica.
-
E.
Ďurčanský
Ďurčanský is a Slovak surname most notably associated with Ferdinand Ďurčanský, a 20th-century Slovak politician and lawyer.
- 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: Domaniç Triple: [Kütahya Province, contains, Domaniç]
Generated description
Domaniç is a rural district and town in western Turkey known for its forested landscapes and historical significance within the Kütahya region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Domaniç Target entity description: Domaniç is a rural district and town in western Turkey known for its forested landscapes and historical significance within the Kütahya region.
-
A.
Domaso
Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
-
B.
Dajla
Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
-
C.
Grindeanu
Grindeanu is the surname of Sorin Grindeanu, a Romanian politician who has served as Prime Minister of Romania.
-
D.
Zvečan
Zvečan is a historic town and municipality in northern Kosovo, known for its medieval fortress and strategic location near Kosovska Mitrovica.
-
E.
Ďurčanský
Ďurčanský is a Slovak surname most notably associated with Ferdinand Ďurčanský, a 20th-century Slovak politician and lawyer.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998d17648190b9f020632461965f |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9dcbb36881909c4317f9031199b8 |
completed | May 9, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9e25b2f08190b519d61be3e2f2f6 |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 10, 2026, 4:48 a.m.