Triple
T2561167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Slovakia |
E57242
|
entity |
| Predicate | containsRegion |
P285
|
FINISHED |
| Object |
Malohont
Malohont is a historical region in southern Slovakia known for its rural landscapes, traditional culture, and small towns.
|
E278193
|
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: Malohont | Statement: [Southern Slovakia, containsRegion, Malohont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malohont Context triple: [Southern Slovakia, containsRegion, Malohont]
-
A.
Mooanam
Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
D.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
E.
Olohega
Olohega is the traditional Polynesian name for Swains Island, a remote atoll in the Tokelau region of the South Pacific.
- 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: Malohont Triple: [Southern Slovakia, containsRegion, Malohont]
Generated description
Malohont is a historical region in southern Slovakia known for its rural landscapes, traditional culture, and small towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malohont Target entity description: Malohont is a historical region in southern Slovakia known for its rural landscapes, traditional culture, and small towns.
-
A.
Mooanam
Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
D.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
E.
Olohega
Olohega is the traditional Polynesian name for Swains Island, a remote atoll in the Tokelau region of the South Pacific.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd336183c819084ed7de8ccc4c548 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d233dbc81909feb1127cffb027f |
completed | March 9, 2026, 11:52 p.m. |
| NEDg | Description generation | batch_69af60e78b488190bdd01ee77ed3648b |
completed | March 10, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af614ad2408190955c430cb7a7e302 |
completed | March 10, 2026, 12:09 a.m. |
Created at: March 6, 2026, 9:48 p.m.