Triple
T23049031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vir |
E573956
|
entity |
| Predicate | bridgeConnectsTo |
P4245
|
FINISHED |
| Object | Privlaka |
—
|
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: Privlaka | Statement: [Vir, bridgeConnectsTo, Privlaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Privlaka Context triple: [Vir, bridgeConnectsTo, Privlaka]
-
A.
Privlaka
chosen
Privlaka is a coastal village and tourist destination in northern Dalmatia, Croatia, known for its sandy beaches and proximity to the town of Nin and the island of Vir.
-
B.
Privas
Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
-
C.
Prahasta
Prahasta is a powerful rakshasa commander in the Hindu epic Ramayana, serving as one of Ravana’s chief generals in the war against Rama.
-
D.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
-
E.
Malauzat
Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.