Triple
T1307425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melilla |
E27909
|
entity |
| Predicate | schengenStatus |
P11465
|
FINISHED |
| Object | partially integrated into Schengen Area |
—
|
LITERAL 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: partially integrated into Schengen Area | Statement: [Melilla, schengenStatus, partially integrated into Schengen Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schengenStatus Context triple: [Melilla, schengenStatus, partially integrated into Schengen Area]
-
A.
hasSchengenArea
chosen
Indicates that a place, country, or region is part of, or included within, the Schengen Area for border-free movement.
-
B.
hasBorderControlStatus
Indicates the type or condition of border control that applies to a given entity or location.
-
C.
SchengenEntryDate
Indicates the date on which an entity entered the Schengen Area.
-
D.
europeanUnionStatus
Indicates whether an entity is a member of, associated with, or otherwise holds a defined status in relation to the European Union.
-
E.
visaRequirement
Indicates whether one party must obtain a visa in order to enter, stay in, or transit through the territory of another party.
- F. None of above.
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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.