Triple
T20985127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Council districts |
E516872
|
entity |
| Predicate | typicalPopulationPerDistrict |
P142369
|
FINISHED |
| Object | approximately 170000 to 190000 residents |
—
|
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: approximately 170000 to 190000 residents | Statement: [New York City Council districts, typicalPopulationPerDistrict, approximately 170000 to 190000 residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPopulationPerDistrict Context triple: [New York City Council districts, typicalPopulationPerDistrict, approximately 170000 to 190000 residents]
-
A.
staffPopulationApprox
Indicates an approximate or estimated number of staff associated with an entity.
-
B.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
C.
dividedPopulationOf
Indicates that a population has been split into distinct subgroups or segments, typically based on specified criteria or characteristics.
-
D.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
-
E.
hasPopulationDensity
Indicates the number of individuals (e.g., people, organisms) per unit area associated with a given entity 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe218748190a987b9f922d9be1b |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:48 p.m.