Triple
T17049420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šolta |
E413653
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Maslinica
Maslinica is a coastal village and popular tourist resort on the western side of the Croatian island of Šolta in the Adriatic Sea.
|
E1250187
|
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: Maslinica | Statement: [Šolta, hasSettlement, Maslinica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maslinica Context triple: [Šolta, hasSettlement, Maslinica]
-
A.
Malše
Malše is a river in South Bohemia, Czech Republic, that flows through towns including České Budějovice before joining the Vltava River.
-
B.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
C.
Potočari
Potočari is a village in eastern Bosnia and Herzegovina known as the site of the Srebrenica genocide and the location of the Srebrenica–Potočari Memorial and Cemetery.
-
D.
Stolac
Stolac is a historic town in southern Bosnia and Herzegovina known for its rich cultural heritage, Ottoman-era architecture, and nearby medieval necropolises.
-
E.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
- 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: Maslinica Triple: [Šolta, hasSettlement, Maslinica]
Generated description
Maslinica is a coastal village and popular tourist resort on the western side of the Croatian island of Šolta in the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maslinica Target entity description: Maslinica is a coastal village and popular tourist resort on the western side of the Croatian island of Šolta in the Adriatic Sea.
-
A.
Malše
Malše is a river in South Bohemia, Czech Republic, that flows through towns including České Budějovice before joining the Vltava River.
-
B.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
C.
Potočari
Potočari is a village in eastern Bosnia and Herzegovina known as the site of the Srebrenica genocide and the location of the Srebrenica–Potočari Memorial and Cemetery.
-
D.
Stolac
Stolac is a historic town in southern Bosnia and Herzegovina known for its rich cultural heritage, Ottoman-era architecture, and nearby medieval necropolises.
-
E.
Grbavica
Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0132efcef8819095dac57351586910 |
completed | May 11, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013357945c8190a293634d8d0399b4 |
completed | May 11, 2026, 1:39 a.m. |
Created at: April 10, 2026, 5:34 a.m.