Triple
T3269270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yumeshima |
E68602
|
entity |
| Predicate | urbanFunctionPlanned |
P24665
|
FINISHED |
| Object | resort hotels |
—
|
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: resort hotels | Statement: [Yumeshima, urbanFunctionPlanned, resort hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanFunctionPlanned Context triple: [Yumeshima, urbanFunctionPlanned, resort hotels]
-
A.
urbanPlanningFunction
chosen
Indicates a functional role or purpose that something serves within the planning, organization, or management of urban spaces and infrastructure.
-
B.
townPlannedWith
Indicates that a town was designed, organized, or laid out in coordination with a particular plan, entity, or planning effort.
-
C.
urbanPlanInspiredBy
Indicates that an urban planning design, strategy, or project is conceptually derived from, modeled on, or significantly influenced by another plan, precedent, or source.
-
D.
urbanComponent
Indicates that something functions as a constituent part or element within an urban area or city system.
-
E.
plannedDevelopment
Indicates that one entity has been designated or scheduled for future development or construction by 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafd0eddc8190834a64f6b8e8e9f9 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.