Triple
T9242206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seaton |
E222089
|
entity |
| Predicate | hasUrbanPlanningDesignation |
P9954
|
FINISHED |
| Object | designated urban growth area |
—
|
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: designated urban growth area | Statement: [Seaton, hasUrbanPlanningDesignation, designated urban growth area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanningDesignation Context triple: [Seaton, hasUrbanPlanningDesignation, designated urban growth area]
-
A.
cityPlanningDesignation
chosen
Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
-
B.
hasPlannedUrbanCharacter
Indicates that an area exhibits an intentionally designed and organized urban form, layout, and land use pattern rather than informal or unplanned development.
-
C.
hasCityDesignatedAs
Indicates that an entity has a specific city formally assigned or designated to it in a particular role or capacity.
-
D.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
E.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03ec23ec8190993003a826372d40 |
completed | April 1, 2026, 11:39 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.