Triple
T17797972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mljet |
E444340
|
entity |
| Predicate | hasFerryPort |
P15716
|
FINISHED |
| Object | Sobra |
—
|
NE NERFINISHED |
How this triple was built (2 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, hasFerryPort, Sobra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sobra Context triple: [Mljet, hasFerryPort, Sobra]
-
A.
Sobra
chosen
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.
-
B.
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.
-
C.
Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:13 a.m.