Triple
T8056208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krka d. d. |
E188007
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Krka-Farma
Krka-Farma is a pharmaceutical company that operates as a subsidiary of the Slovenian drug manufacturer Krka d. d., focusing on the production and distribution of medicinal products.
|
E188007
|
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: Krka-Farma | Statement: [Krka d. d., hasSubsidiary, Krka-Farma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krka-Farma Context triple: [Krka d. d., hasSubsidiary, Krka-Farma]
-
A.
Krka d. d.
Krka d. d. is a major Slovenian pharmaceutical company known for producing generic medicines and health products for global markets.
-
B.
Trebjesa Brewery
Trebjesa Brewery is a prominent Montenegrin brewery best known for producing Nikšićko beer.
-
C.
Čižići
Čižići is a small coastal village and tourist settlement on the island of Krk in Croatia, known for its bay and nearby healing mud beaches.
-
D.
Kukoč
Kukoč is the surname of Toni Kukoč, a renowned Croatian basketball player and three-time NBA champion with the Chicago Bulls.
-
E.
Nerežišća
Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
- 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: Krka-Farma Triple: [Krka d. d., hasSubsidiary, Krka-Farma]
Generated description
Krka-Farma is a pharmaceutical company that operates as a subsidiary of the Slovenian drug manufacturer Krka d. d., focusing on the production and distribution of medicinal products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krka-Farma Target entity description: Krka-Farma is a pharmaceutical company that operates as a subsidiary of the Slovenian drug manufacturer Krka d. d., focusing on the production and distribution of medicinal products.
-
A.
Krka d. d.
chosen
Krka d. d. is a major Slovenian pharmaceutical company known for producing generic medicines and health products for global markets.
-
B.
Trebjesa Brewery
Trebjesa Brewery is a prominent Montenegrin brewery best known for producing Nikšićko beer.
-
C.
Čižići
Čižići is a small coastal village and tourist settlement on the island of Krk in Croatia, known for its bay and nearby healing mud beaches.
-
D.
Kukoč
Kukoč is the surname of Toni Kukoč, a renowned Croatian basketball player and three-time NBA champion with the Chicago Bulls.
-
E.
Nerežišća
Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
- F. None of above.
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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa26fb88190b6799bddeb68ed78 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5725c5308190b2eb565902124b10 |
completed | March 31, 2026, 11:22 p.m. |
| NEDg | Description generation | batch_69cc58ae255c8190a6a2d2f335c6cc3f |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cd22b188190b8a31e8e8ac8b98d |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:25 p.m.