Triple
T14677086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlothian, Virginia |
E344672
|
entity |
| Predicate | suburbanGrowthPeriod |
P34609
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Midlothian, Virginia, suburbanGrowthPeriod, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanGrowthPeriod Context triple: [Midlothian, Virginia, suburbanGrowthPeriod, late 20th century]
-
A.
hasSuburbanGrowth
Indicates that an area or entity is experiencing or characterized by expansion or development typical of suburban environments.
-
B.
urbanizationPhase
Indicates the stage or degree to which an area or settlement is undergoing or has undergone urban development and transformation.
-
C.
hasUrbanGrowthCharacteristic
Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
-
D.
urbanPlanningPeriod
Indicates the specific span of time during which urban planning activities, policies, or projects are designed, implemented, or in effect.
-
E.
urbanDevelopmentEra
chosen
Indicates the historical period or phase during which significant urban development or transformation of a place occurred.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.