Triple
T23592357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjord City project |
E582515
|
entity |
| Predicate | includesUseType |
P51214
|
FINISHED |
| Object | housing |
—
|
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: housing | Statement: [Fjord City project, includesUseType, housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesUseType Context triple: [Fjord City project, includesUseType, housing]
-
A.
containsUse
Indicates that one entity includes or makes use of another entity as part of its composition, function, or implementation.
-
B.
includeUses
chosen
Indicates that one entity incorporates or relies on another entity as a component, resource, or dependency in its use or operation.
-
C.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
-
D.
includesUniformType
Indicates that one entity contains or encompasses a specific type of uniform within its scope or composition.
-
E.
includesRouteType
Indicates that one entity’s set of routes contains or covers a specific type or category of route associated with 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08befcc819095e0e6052e6fe787 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.