Triple
T26257957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombo Island |
E656761
|
entity |
| Predicate | hasUrbanExpansionTo |
P161692
|
FINISHED |
| Object | Kaloum Peninsula |
—
|
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: Kaloum Peninsula | Statement: [Tombo Island, hasUrbanExpansionTo, Kaloum Peninsula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanExpansionTo Context triple: [Tombo Island, hasUrbanExpansionTo, Kaloum Peninsula]
-
A.
hasUrbanGrowthCharacteristic
Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
-
B.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
C.
hasHigherUrbanizationThan
Indicates that one entity has a greater proportion of its population living in urban areas compared to another entity.
-
D.
hasSuburbanGrowth
Indicates that an area or entity is experiencing or characterized by expansion or development typical of suburban environments.
-
E.
hasUrbanSectionsIn
Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
- F. None of above. chosen
Provenance (4 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 26, 2026, 9:09 p.m.