Triple
T37904171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Maldives |
E945502
|
entity |
| Predicate | geographicForm |
P53641
|
FINISHED |
| Object | islands |
—
|
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: islands | Statement: [Spanish Maldives, geographicForm, islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicForm Context triple: [Spanish Maldives, geographicForm, islands]
-
A.
formerGeographicalForm
Indicates that one geographical entity previously existed in the form of another geographical entity before undergoing a change (e.g., renaming, reorganization, or dissolution).
-
B.
geographicalStructure
Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
-
C.
geographicDivision
Indicates that one place is an administrative or territorial subdivision of another place.
-
D.
geographicalRepresentation
Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
-
E.
refersToGeographicFeature
chosen
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:20 p.m.