Triple
T30153775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishikasugai District |
E766466
|
entity |
| Predicate | hasPopulationData |
P86118
|
FINISHED |
| Object | population recorded in Japanese national census |
—
|
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: population recorded in Japanese national census | Statement: [Nishikasugai District, hasPopulationData, population recorded in Japanese national census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationData Context triple: [Nishikasugai District, hasPopulationData, population recorded in Japanese national census]
-
A.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
B.
hasPopulationOf
Indicates that an entity possesses a specific number of inhabitants or residents as its population.
-
C.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
E.
populationDataCollectedAtLevel
chosen
Indicates that population data has been gathered or recorded at a specified administrative or analytical level (e.g., national, regional, local, or other defined unit).
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 29, 2026, 7:20 p.m.