Triple
T24146102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponza |
E598388
|
entity |
| Predicate | mostPopulousOf |
P11012
|
FINISHED |
| Object | Pontine Islands |
—
|
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: Pontine Islands | Statement: [Ponza, mostPopulousOf, Pontine Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostPopulousOf Context triple: [Ponza, mostPopulousOf, Pontine Islands]
-
A.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
B.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
C.
hasLargestPopulationOn
chosen
Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
-
D.
majorPopulation
Indicates that an entity serves as the primary or most significant population group associated with another entity (such as a place or organization).
-
E.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00b00708190bcd1d0b855230378 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:29 p.m.