Triple
T860351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasnaya Polyana |
E18585
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Tula
Tula is a historic Russian city south of Moscow, known for its metalworking, samovar production, and as a cultural center near Leo Tolstoy’s estate at Yasnaya Polyana.
|
E111344
|
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: Tula | Statement: [Yasnaya Polyana, locatedNear, Tula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tula Context triple: [Yasnaya Polyana, locatedNear, Tula]
-
A.
Solan
Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
-
B.
Ciudad Serdán
Ciudad Serdán is a town in the Mexican state of Puebla, known as a gateway community to the nearby Pico de Orizaba volcano and surrounding highland region.
-
C.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
D.
San Carlos
San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
-
E.
San Carlos
San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
- 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: Tula Triple: [Yasnaya Polyana, locatedNear, Tula]
Generated description
Tula is a historic Russian city south of Moscow, known for its metalworking, samovar production, and as a cultural center near Leo Tolstoy’s estate at Yasnaya Polyana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tula Target entity description: Tula is a historic Russian city south of Moscow, known for its metalworking, samovar production, and as a cultural center near Leo Tolstoy’s estate at Yasnaya Polyana.
-
A.
Solan
Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
-
B.
Ciudad Serdán
Ciudad Serdán is a town in the Mexican state of Puebla, known as a gateway community to the nearby Pico de Orizaba volcano and surrounding highland region.
-
C.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
-
D.
San Carlos
San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
-
E.
San Carlos
San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac52536c8190ab198232e9ec4bd6 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826d10188819085413db5a7f6bd11 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a85e2ed0a081908af18feccc669772 |
completed | March 4, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a85ef9bed48190991ab9048dba4678 |
completed | March 4, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:39 p.m.