Triple
T19924317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čara |
E478883
|
entity |
| Predicate | produces |
P490
|
FINISHED |
| Object |
Pošip
Pošip is a Croatian white wine grape variety, particularly associated with the island of Korčula, known for producing full-bodied, aromatic wines.
|
E1402197
|
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: Pošip | Statement: [Čara, produces, Pošip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pošip Context triple: [Čara, produces, Pošip]
-
A.
Podravka
Podravka is a major Croatian food company best known internationally for its Vegeta brand of food seasonings and other packaged food products.
-
B.
Plaošnik
Plaošnik is an archaeological and religious complex in Ohrid, North Macedonia, known for its early Christian basilicas, medieval church, and significance as a historic spiritual and educational center.
-
C.
Vrosina
Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Pomena
Pomena is a small coastal village and tourist resort on the island of Mljet in southern Croatia, known as a gateway to Mljet National Park.
- 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: Pošip Triple: [Čara, produces, Pošip]
Generated description
Pošip is a Croatian white wine grape variety, particularly associated with the island of Korčula, known for producing full-bodied, aromatic wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pošip Target entity description: Pošip is a Croatian white wine grape variety, particularly associated with the island of Korčula, known for producing full-bodied, aromatic wines.
-
A.
Podravka
Podravka is a major Croatian food company best known internationally for its Vegeta brand of food seasonings and other packaged food products.
-
B.
Plaošnik
Plaošnik is an archaeological and religious complex in Ohrid, North Macedonia, known for its early Christian basilicas, medieval church, and significance as a historic spiritual and educational center.
-
C.
Vrosina
Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Pomena
Pomena is a small coastal village and tourist resort on the island of Mljet in southern Croatia, known as a gateway to Mljet National Park.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c88c548190b9b9eccbdd07d977 |
completed | April 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea56ae608190815a66c89dadcb9e |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f2bc1474819092902f88b3309e0d |
completed | May 16, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f376f5388190989a0460528945df |
completed | May 16, 2026, 4:32 a.m. |
Created at: April 10, 2026, 1:53 p.m.