Triple
T17797937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mljet |
E444340
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sobra
Sobra is a small coastal village and port on the Croatian island of Mljet, serving as one of its main ferry connections to the mainland.
|
E1288839
|
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: Sobra | Statement: [Mljet, hasSettlement, Sobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sobra Context triple: [Mljet, hasSettlement, Sobra]
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
-
C.
Barugo
Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
-
D.
Osubi
Osubi is a town in Delta State, Nigeria, known for hosting a regional airport that serves the nearby city of Warri and surrounding communities.
-
E.
Sabor
Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
- 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: Sobra Triple: [Mljet, hasSettlement, Sobra]
Generated description
Sobra is a small coastal village and port on the Croatian island of Mljet, serving as one of its main ferry connections to the mainland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sobra Target entity description: Sobra is a small coastal village and port on the Croatian island of Mljet, serving as one of its main ferry connections to the mainland.
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
-
C.
Barugo
Barugo is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known for its agricultural economy and rural communities.
-
D.
Osubi
Osubi is a town in Delta State, Nigeria, known for hosting a regional airport that serves the nearby city of Warri and surrounding communities.
-
E.
Sabor
Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fcfdc8819086f41152860dfe18 |
completed | April 19, 2026, 7:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f83e8b88819088619e575d93ab4e |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02fc17b1ec81909a0547eeed8efb49 |
completed | May 12, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fcb37b408190aac496722b75ec53 |
completed | May 12, 2026, 10:10 a.m. |
Created at: April 10, 2026, 10:13 a.m.