Triple
T29172703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern California Association of Governments |
E739513
|
entity |
| Predicate | servesPopulationOver |
P28241
|
FINISHED |
| Object | 19 million people |
—
|
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: 19 million people | Statement: [Southern California Association of Governments, servesPopulationOver, 19 million people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPopulationOver Context triple: [Southern California Association of Governments, servesPopulationOver, 19 million people]
-
A.
inhabitantsServed
Indicates the relationship in which a service, facility, or resource provides for or meets the needs of a specified group of inhabitants.
-
B.
servesPopulationCentre
Indicates that one entity provides services or functions in support of a particular population centre.
-
C.
hasServiceAreaPopulation
chosen
Indicates that an entity has a service area characterized by a specific population size or count.
-
D.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
E.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 28, 2026, 11:53 a.m.