Triple
T15330936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupa |
E366528
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Kupčina
Kupčina is a river in central Croatia that serves as one of the tributaries of the Kupa River.
|
E1150069
|
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: Kupčina | Statement: [Kupa, hasTributary, Kupčina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupčina Context triple: [Kupa, hasTributary, Kupčina]
-
A.
Kapesovo
Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
-
B.
Kupenite
Kupenite is a group of rugged mountain peaks in Bulgaria’s Rila Mountains, popular with climbers and hikers for their steep rocky profiles and alpine scenery.
-
C.
Kukoč
Kukoč is the surname of Toni Kukoč, a renowned Croatian basketball player and three-time NBA champion with the Chicago Bulls.
-
D.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
E.
Kosere
"Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
- 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: Kupčina Triple: [Kupa, hasTributary, Kupčina]
Generated description
Kupčina is a river in central Croatia that serves as one of the tributaries of the Kupa River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kupčina Target entity description: Kupčina is a river in central Croatia that serves as one of the tributaries of the Kupa River.
-
A.
Kapesovo
Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
-
B.
Kupenite
Kupenite is a group of rugged mountain peaks in Bulgaria’s Rila Mountains, popular with climbers and hikers for their steep rocky profiles and alpine scenery.
-
C.
Kukoč
Kukoč is the surname of Toni Kukoč, a renowned Croatian basketball player and three-time NBA champion with the Chicago Bulls.
-
D.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
E.
Kosere
"Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
- 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.