Triple
T10346860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tundzha River |
E243770
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Elhovo
Elhovo is a small town in southeastern Bulgaria known for its location in the Tundzha River valley near the Turkish border.
|
E857149
|
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: Elhovo | Statement: [Tundzha River, flowsThrough, Elhovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elhovo Context triple: [Tundzha River, flowsThrough, Elhovo]
-
A.
Hovet
Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
-
B.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
C.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
D.
Altaelva
Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
-
E.
Valle-Hovin
Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
- 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: Elhovo Triple: [Tundzha River, flowsThrough, Elhovo]
Generated description
Elhovo is a small town in southeastern Bulgaria known for its location in the Tundzha River valley near the Turkish border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elhovo Target entity description: Elhovo is a small town in southeastern Bulgaria known for its location in the Tundzha River valley near the Turkish border.
-
A.
Hovet
Hovet is an indoor ice hockey arena in Stockholm, Sweden, best known as the longtime home venue of Djurgårdens IF's ice hockey team.
-
B.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
C.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
-
D.
Altaelva
Altaelva is a major river in northern Norway known for flowing through the Alta region and its surrounding Arctic landscapes.
-
E.
Valle-Hovin
Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9251654819080d1e3f0ed4ee9d3 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750879d308190893bd8425aaa49d7 |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d7514f48c08190823759c39fb02487 |
completed | April 9, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d75200eecc819094e261c9fa7c75f5 |
completed | April 9, 2026, 7:15 a.m. |
Created at: April 6, 2026, 11:56 a.m.