Triple
T17762903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paklenica National Park |
E443424
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Starigrad |
—
|
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: Starigrad | Statement: [Paklenica National Park, nearestCity, Starigrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starigrad Context triple: [Paklenica National Park, nearestCity, Starigrad]
-
A.
Starigrad
chosen
Starigrad is a coastal municipality in Croatia known as a gateway to the Paklenica National Park and the dramatic landscapes of the Velebit mountain range.
-
B.
Novi Grad
Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
-
C.
Gornji Grad
Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
-
D.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
-
E.
Stari Grad
Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f887ac81908c896a50175692b9 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.