Triple
T665714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kars Oblast |
E12855
|
entity |
| Predicate | includedTown |
P847
|
FINISHED |
| Object |
Kagizman
Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
|
E90696
|
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: Kagizman | Statement: [Kars Oblast, includedTown, Kagizman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagizman Context triple: [Kars Oblast, includedTown, Kagizman]
-
A.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
B.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
C.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
D.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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: Kagizman Triple: [Kars Oblast, includedTown, Kagizman]
Generated description
Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kagizman Target entity description: Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
-
A.
Kubban
Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
-
B.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
-
C.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
D.
Kassaman
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a517ac148190aa032b77885bf709 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6666745d88190ad09c24724aeac99 |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a666d46ce0819096b66eeb93e8ae89 |
completed | March 3, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6673797a8819097b444d783fc8bdc |
completed | March 3, 2026, 4:44 a.m. |
Created at: March 1, 2026, 7:36 p.m.