Triple
T15805604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kütahya Province |
E383207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Şaphane
Şaphane is a small town and district in western Turkey known for its location within Kütahya Province and its surrounding mountainous landscape.
|
E1179168
|
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: Şaphane | Statement: [Kütahya Province, contains, Şaphane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şaphane Context triple: [Kütahya Province, contains, Şaphane]
-
A.
Shala
Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
-
B.
Shabran
Shabran is a town in northeastern Azerbaijan that serves as an administrative and economic center for the surrounding region.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Shimona
Shimona is a feminine given name, typically considered a variant of Simone.
-
E.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
- 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: Şaphane Triple: [Kütahya Province, contains, Şaphane]
Generated description
Şaphane is a small town and district in western Turkey known for its location within Kütahya Province and its surrounding mountainous landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Şaphane Target entity description: Şaphane is a small town and district in western Turkey known for its location within Kütahya Province and its surrounding mountainous landscape.
-
A.
Shala
Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
-
B.
Shabran
Shabran is a town in northeastern Azerbaijan that serves as an administrative and economic center for the surrounding region.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Shimona
Shimona is a feminine given name, typically considered a variant of Simone.
-
E.
Saravena
Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
- 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.