Triple
T19780596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Council of Gospić |
E475119
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | Gospić |
—
|
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: Gospić | Statement: [Town Council of Gospić, hasJurisdictionOver, Gospić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gospić Context triple: [Town Council of Gospić, hasJurisdictionOver, Gospić]
-
A.
Gospić
chosen
Gospić is a town in the Lika region of Croatia, known as the administrative center of Lika-Senj County and for its association with the birthplace of inventor Nikola Tesla in nearby Smiljan.
-
B.
Gložan
Gložan is a village in the Vojvodina region of northern Serbia, known for its Slovak ethnic community and agricultural character.
-
C.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
D.
Krupanj
Krupanj is a small town in western Serbia known for its mountainous surroundings, mining history, and role in World War I.
-
E.
Cerknica
Cerknica is a town in southwestern Slovenia known for the intermittent Lake Cerknica and its karst landscape.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65382ff308190832800dd60675f7a |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.