Triple
T6183026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar County |
E137988
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
|
E573947
|
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: Povljana | Statement: [Zadar County, hasMunicipality, Povljana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Povljana Context triple: [Zadar County, hasMunicipality, Povljana]
-
A.
Pervalka
Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
-
B.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
C.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
-
D.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
E.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
- 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: Povljana Triple: [Zadar County, hasMunicipality, Povljana]
Generated description
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Povljana Target entity description: Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
-
A.
Pervalka
Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
-
B.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
C.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
-
D.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
-
E.
Pavka
Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06100c2b0819097f287e86f63d590 |
completed | March 22, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141c30d28819095d719adc421b02d |
completed | March 23, 2026, 1:36 p.m. |
| NEDg | Description generation | batch_69c14426f414819084bd3bafa81d6c00 |
completed | March 23, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144b45a148190a95095d7141ddeb0 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:19 p.m.