Triple
T13182170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cres |
E313755
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Martinšćica
Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
|
E1028698
|
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: Martinšćica | Statement: [Cres, hasSettlement, Martinšćica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martinšćica Context triple: [Cres, hasSettlement, Martinšćica]
-
A.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
-
B.
Košljun
Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
-
C.
Orebić
Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
-
D.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
E.
Šavnik
Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
- 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: Martinšćica Triple: [Cres, hasSettlement, Martinšćica]
Generated description
Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martinšćica Target entity description: Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
-
A.
Velenjak
Velenjak is an affluent residential and cultural neighborhood in northern Tehran, known for its proximity to the Alborz mountains and several major universities.
-
B.
Košljun
Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
-
C.
Orebić
Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
-
D.
Vranić
Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
-
E.
Šavnik
Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1581388190824a5377b64bd0ef |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:15 p.m.