Triple
T16707867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomsk Oblast |
E406019
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Asino
Asino is a small town in Tomsk Oblast, Russia, known for its timber industry and location along the Chulym River.
|
E1229404
|
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: Asino | Statement: [Tomsk Oblast, contains, Asino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asino Context triple: [Tomsk Oblast, contains, Asino]
-
A.
Catu
Catu is a municipality in the state of Bahia, Brazil, located within the Metropolitan Region of Salvador and known historically for its role in regional agriculture and oil production.
-
B.
Alvier
Alvier is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its scenic hiking routes and panoramic views.
-
C.
Anka
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
-
D.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
-
E.
Canini
Canini is a biological tribe within the dog family (Canidae) that includes wolves, domestic dogs, jackals, and closely related canids.
- 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: Asino Triple: [Tomsk Oblast, contains, Asino]
Generated description
Asino is a small town in Tomsk Oblast, Russia, known for its timber industry and location along the Chulym River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asino Target entity description: Asino is a small town in Tomsk Oblast, Russia, known for its timber industry and location along the Chulym River.
-
A.
Catu
Catu is a municipality in the state of Bahia, Brazil, located within the Metropolitan Region of Salvador and known historically for its role in regional agriculture and oil production.
-
B.
Alvier
Alvier is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its scenic hiking routes and panoramic views.
-
C.
Anka
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
-
D.
Vilca
Vilca is a small Andean town in Peru known for its scenic highland landscapes, lagoons, and traditional rural culture within the Nor Yauyos-Cochas reserve.
-
E.
Canini
Canini is a biological tribe within the dog family (Canidae) that includes wolves, domestic dogs, jackals, and closely related canids.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38337ecac8190bc4a9410ed7681ab |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:20 a.m.