Triple
T38428115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parisian Plaine |
E903417
|
entity |
| Predicate | urbanExpansionIntensifiedIn |
P190920
|
FINISHED |
| Object | 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: 20th century | Statement: [Parisian Plaine, urbanExpansionIntensifiedIn, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanExpansionIntensifiedIn Context triple: [Parisian Plaine, urbanExpansionIntensifiedIn, 20th century]
-
A.
hasUrbanExpansionTo
Indicates that an urban area has expanded or extended its development into another specified area or region.
-
B.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
C.
urbanScale
Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
-
D.
urbanContinuity
Indicates that two or more urban areas are spatially connected or form a continuous built-up zone without significant gaps.
-
E.
urbanizationPhase
Indicates the stage or degree to which an area or settlement is undergoing or has undergone urban development and transformation.
- F. None of above. chosen
Provenance (4 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.