Triple
T16285906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Michigan metropolitan areas |
E395386
|
entity |
| Predicate | timeDependentOn |
P44297
|
FINISHED |
| Object | decennial census updates |
—
|
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: decennial census updates | Statement: [State of Michigan metropolitan areas, timeDependentOn, decennial census updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDependentOn Context triple: [State of Michigan metropolitan areas, timeDependentOn, decennial census updates]
-
A.
timeDependence
chosen
Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
-
B.
durationDependsOn
Indicates that the length of time of one event or state is determined or influenced by another event, condition, or factor.
-
C.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
D.
timeDefinite
Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
-
E.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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.