Triple
T16893181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javorníky Mountains |
E424225
|
entity |
| Predicate | hasTouristCenter |
P2976
|
FINISHED |
| Object |
Makov
Makov is a Slovak village and popular mountain resort known as a key gateway for hiking and winter sports in the Javorníky Mountains.
|
E1240560
|
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: Makov | Statement: [Javorníky Mountains, hasTouristCenter, Makov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makov Context triple: [Javorníky Mountains, hasTouristCenter, Makov]
-
A.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
-
B.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
C.
Kingisepp
Kingisepp is a town in northwestern Russia near the Estonian border, known for its industrial base and historical roots dating back to the 14th century.
-
D.
Melinka
Melinka is a small coastal town in southern Chile that serves as the main settlement and administrative center of the remote Guaitecas Archipelago.
-
E.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
- 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: Makov Triple: [Javorníky Mountains, hasTouristCenter, Makov]
Generated description
Makov is a Slovak village and popular mountain resort known as a key gateway for hiking and winter sports in the Javorníky Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makov Target entity description: Makov is a Slovak village and popular mountain resort known as a key gateway for hiking and winter sports in the Javorníky Mountains.
-
A.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
-
B.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
C.
Kingisepp
Kingisepp is a town in northwestern Russia near the Estonian border, known for its industrial base and historical roots dating back to the 14th century.
-
D.
Melinka
Melinka is a small coastal town in southern Chile that serves as the main settlement and administrative center of the remote Guaitecas Archipelago.
-
E.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc6b97c8190b18aca477d6ef647 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a7fd8481908ef82a13418b1c2d |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c8f445248190be5f3de196e40f1f |
completed | May 10, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00cd2bbd9881909f5e216cb6262a72 |
completed | May 10, 2026, 6:23 p.m. |
Created at: April 10, 2026, 5:29 a.m.