Triple
T29696893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieto |
E751375
|
entity |
| Predicate | isGrowingResidentialArea |
P29003
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lieto, isGrowingResidentialArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGrowingResidentialArea Context triple: [Lieto, isGrowingResidentialArea, true]
-
A.
isGrowthAreaFor
Indicates that a particular domain, skill, or area represents an opportunity or target for development or improvement for an entity.
-
B.
isGrowingAs
Indicates that one entity is developing, evolving, or increasing in some capacity in the manner or role specified by another entity.
-
C.
hasUrbanExpansionTo
Indicates that an urban area has expanded or extended its development into another specified area or region.
-
D.
hasUrbanGrowthCharacteristic
chosen
Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
-
E.
notableGrowingArea
Indicates that a location is recognized as an important or prominent area for cultivating or producing a particular crop or product.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672b1186081909861338709be96d8 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:20 p.m.