Triple
T15330934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupa |
E366528
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Mrežnica
Mrežnica is a picturesque river in central Croatia known for its clear waters, numerous waterfalls, and popular spots for swimming and kayaking.
|
E1150067
|
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: Mrežnica | Statement: [Kupa, hasTributary, Mrežnica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrežnica Context triple: [Kupa, hasTributary, Mrežnica]
-
A.
Palički
Palički is a spelling variant of the surname Palicki, which is of Slavic origin and borne by various individuals, including some in Central and Eastern Europe.
-
B.
Mojstrovka
Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
-
C.
Bezdružice
Bezdružice is a small town in the Plzeň Region of the Czech Republic known for its historic chateau and rural character.
-
D.
Munirka
Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
-
E.
Makadara
Makadara is a residential and commercial neighborhood in Nairobi, Kenya, known for its dense population, vibrant local markets, and mix of low- to middle-income housing.
- 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: Mrežnica Triple: [Kupa, hasTributary, Mrežnica]
Generated description
Mrežnica is a picturesque river in central Croatia known for its clear waters, numerous waterfalls, and popular spots for swimming and kayaking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrežnica Target entity description: Mrežnica is a picturesque river in central Croatia known for its clear waters, numerous waterfalls, and popular spots for swimming and kayaking.
-
A.
Palički
Palički is a spelling variant of the surname Palicki, which is of Slavic origin and borne by various individuals, including some in Central and Eastern Europe.
-
B.
Mojstrovka
Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
-
C.
Bezdružice
Bezdružice is a small town in the Plzeň Region of the Czech Republic known for its historic chateau and rural character.
-
D.
Munirka
Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
-
E.
Makadara
Makadara is a residential and commercial neighborhood in Nairobi, Kenya, known for its dense population, vibrant local markets, and mix of low- to middle-income housing.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefb10ba78819094948f5401702e79 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefbad7de08190aa2479ec0243e3a6 |
completed | May 9, 2026, 9:17 a.m. |
Created at: April 10, 2026, 3:17 a.m.