Triple
T24096689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Harlem |
E596938
|
entity |
| Predicate | hasCurrentPopulation |
P144474
|
FINISHED |
| Object | Puerto Ricans |
—
|
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: Puerto Ricans | Statement: [Spanish Harlem, hasCurrentPopulation, Puerto Ricans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentPopulation Context triple: [Spanish Harlem, hasCurrentPopulation, Puerto Ricans]
-
A.
hasCurrentPopulationPlace
chosen
Indicates that a place currently has a specified population value or population-related attribute.
-
B.
currentPopulation
Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
-
C.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
D.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
E.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd265274819094f7f29bd8c1c071 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:59 p.m.