Triple
T23109261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pag archipelago |
E576268
|
entity |
| Predicate | partlyIn |
P35
|
FINISHED |
| Object | Lika-Senj County |
—
|
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: Lika-Senj County | Statement: [Pag archipelago, partlyIn, Lika-Senj County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lika-Senj County Context triple: [Pag archipelago, partlyIn, Lika-Senj County]
-
A.
Lika-Senj County
chosen
Lika-Senj County is a sparsely populated county in central Croatia known for its mountainous landscapes, national parks, and Adriatic coastline.
-
B.
Biru County
Biru County is an administrative county in northern Tibet, China, known for its high-altitude grasslands and traditional Tibetan culture.
-
C.
Rinsan County
Rinsan County is an administrative county located within Ryanggang Province in North Korea.
-
D.
Bahmai County
Bahmai County is an administrative division in southwestern Iran known for its mountainous terrain and rural communities.
-
E.
Jinta County
Jinta County is an administrative county under the jurisdiction of Jiuquan City in Gansu Province, northwestern China, known for its arid landscapes and desert environment.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0d3d4881908e32837b3fbbb406 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.