Triple
T21222467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitiüses |
E523003
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Es Vedranell |
—
|
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: Es Vedranell | Statement: [Pitiüses, hasPart, Es Vedranell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Es Vedranell Context triple: [Pitiüses, hasPart, Es Vedranell]
-
A.
Es Vedranell
chosen
Es Vedranell is a small uninhabited islet off the southwest coast of Ibiza in the Balearic Islands, known for its protected natural environment and proximity to the larger rock island Es Vedrà.
-
B.
Venerque
Venerque is a small commune in southwestern France, located in the Haute-Garonne department near Toulouse.
-
C.
Vallirana
Vallirana is a municipality in the Baix Llobregat comarca of Catalonia, Spain, located near Barcelona and known for its surrounding natural landscapes and caves.
-
D.
Viladrau
Viladrau is a small Catalan town in northeastern Spain, known for its natural springs and location within the Montseny Natural Park.
-
E.
Vendela
Vendela is a feminine given name of Scandinavian origin, particularly common in Sweden.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734a846d08190a5470298a3ddd0f8 |
completed | April 21, 2026, 8:26 a.m. |
Created at: April 16, 2026, 3:43 p.m.