Triple
T4058091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liptov |
E84742
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Hybe
Hybe is a historic village in northern Slovakia’s Liptov region, known for its traditional architecture and scenic mountainous surroundings.
|
E411853
|
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: Hybe | Statement: [Liptov, hasVillage, Hybe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hybe Context triple: [Liptov, hasVillage, Hybe]
-
A.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
B.
Boeon
Boeon was an ancient Greek city located in the region of Phocis.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
-
E.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
- 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: Hybe Triple: [Liptov, hasVillage, Hybe]
Generated description
Hybe is a historic village in northern Slovakia’s Liptov region, known for its traditional architecture and scenic mountainous surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hybe Target entity description: Hybe is a historic village in northern Slovakia’s Liptov region, known for its traditional architecture and scenic mountainous surroundings.
-
A.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
B.
Boeon
Boeon was an ancient Greek city located in the region of Phocis.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
-
E.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a6250081908f289f43b066b04d |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b3db0481909f3dd2a9e6a88e6e |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b567e223cc8190aa1d7e827e6c70fd |
completed | March 14, 2026, 1:51 p.m. |
Created at: March 9, 2026, 3:38 p.m.