Triple
T4715820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staten Island |
E104635
|
entity |
| Predicate | hasRelativeDensity |
P56981
|
FINISHED |
| Object | lower population density than Manhattan |
—
|
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: lower population density than Manhattan | Statement: [Staten Island, hasRelativeDensity, lower population density than Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeDensity Context triple: [Staten Island, hasRelativeDensity, lower population density than Manhattan]
-
A.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
B.
densityComparedTo
chosen
Indicates a comparison between the densities of two entities, specifying which is denser or how their densities relate.
-
C.
hasRelativeRelief
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
-
D.
hasRelativeOccupation
Indicates that two people are related in such a way that one’s occupation is defined or characterized in relation to the other’s occupation.
-
E.
hasRelativeSize
Indicates that one entity’s size is being compared to another entity’s size, expressing a relative rather than absolute magnitude.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.