Triple
T6183031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar County |
E137988
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Pašman |
E573945
|
NE FINISHED |
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: Pašman | Statement: [Zadar County, hasIsland, Pašman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pašman Context triple: [Zadar County, hasIsland, Pašman]
-
A.
Pašman
chosen
Pašman is a Croatian island and municipality in the Adriatic Sea, known for its picturesque coastline, traditional villages, and proximity to the city of Zadar.
-
B.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
-
C.
Pamūšis
Pamūšis is a small settlement in present-day Lithuania, historically notable as the birthplace of Russian field marshal Mikhail Barclay de Tolly.
-
D.
Piekarski
Piekarski is a Polish surname, typically derived from occupational or locational roots, borne by various individuals of Polish origin.
-
E.
Margush
Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c16ef823348190a8ed68141857e28c |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:19 p.m.