Triple
T16285914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Core Based Statistical Area |
E395387
|
entity |
| Predicate | hasCorePopulationMinimum |
P65950
|
FINISHED |
| Object | 10000 |
—
|
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: 10000 | Statement: [Core Based Statistical Area, hasCorePopulationMinimum, 10000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorePopulationMinimum Context triple: [Core Based Statistical Area, hasCorePopulationMinimum, 10000]
-
A.
hasMinimum
Indicates that an entity possesses at least a specified lower bound or smallest allowable value, quantity, or level in relation to another entity or constraint.
-
B.
populationRequirement
chosen
Indicates that a certain minimum or specific population size is required for something (e.g., an action, status, or condition) to apply or be valid.
-
C.
hasCoreMember
Indicates that an entity includes another entity as a central or primary member of its group, organization, or structure.
-
D.
minimumNumberOfMembers
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
-
E.
hasCoreDegrees
Indicates that an entity possesses one or more primary or foundational academic degrees.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.