Triple
T13190609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjipe Beach |
E313974
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Vuno |
E1010804
|
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: Vuno | Statement: [Gjipe Beach, locatedBetween, Vuno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vuno Context triple: [Gjipe Beach, locatedBetween, Vuno]
-
A.
Vuno
chosen
Vuno is a coastal village in southern Albania known for its traditional stone houses, hillside setting above the Ionian Sea, and proximity to the Albanian Riviera.
-
B.
The Vodi
The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
-
C.
Vagn
Vagn is a Scandinavian given name, historically used in Denmark and other Nordic countries.
-
D.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
E.
Simoa
Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5fc4b78819088ad32d74dfb9d0a |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:15 p.m.