Triple
T8953723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaneš |
E213419
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object |
Kökten
Kökten is an archaeologist known for conducting excavations at the ancient Anatolian site of Kaneš (Kültepe) in modern-day Turkey.
|
E767959
|
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: Kökten | Statement: [Kaneš, excavatedBy, Kökten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kökten Context triple: [Kaneš, excavatedBy, Kökten]
-
A.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
B.
Klosterneuburg
Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
-
C.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
D.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
E.
Karlowitz
Karlowitz is a historic town in present-day Sremski Karlovci, Serbia, known as the site where the 1699 Treaty of Karlowitz was concluded between the Habsburg Monarchy and the Ottoman Empire.
- 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: Kökten Triple: [Kaneš, excavatedBy, Kökten]
Generated description
Kökten is an archaeologist known for conducting excavations at the ancient Anatolian site of Kaneš (Kültepe) in modern-day Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kökten Target entity description: Kökten is an archaeologist known for conducting excavations at the ancient Anatolian site of Kaneš (Kültepe) in modern-day Turkey.
-
A.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
-
B.
Klosterneuburg
Klosterneuburg is an Austrian town near Vienna, known for its historic Augustinian monastery and wine-growing tradition along the Danube River.
-
C.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
D.
Leoben
Leoben is a historic industrial and university city in the Austrian state of Styria, known especially for its steel industry and mining university.
-
E.
Karlowitz
Karlowitz is a historic town in present-day Sremski Karlovci, Serbia, known as the site where the 1699 Treaty of Karlowitz was concluded between the Habsburg Monarchy and the Ottoman Empire.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670f88d0819085d7308a5cf6c764 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc210302c8190b1c062fcbcfeb0f6 |
completed | April 3, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69cfc34eba0881908155770166639481 |
completed | April 3, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc41fca3081908d8c2515c98283de |
completed | April 3, 2026, 1:43 p.m. |
Created at: March 30, 2026, 7 p.m.