Triple
T30113395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zincirli |
E765346
|
entity |
| Predicate | hasCityPlanShape |
P179818
|
FINISHED |
| Object | oval |
—
|
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: oval | Statement: [Zincirli, hasCityPlanShape, oval]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityPlanShape Context triple: [Zincirli, hasCityPlanShape, oval]
-
A.
hasFloorPlanShape
Indicates that an entity has a specific geometric or structural configuration defining the shape of its floor plan.
-
B.
hasCityPlanningContext
Indicates that something is associated with, relevant to, or situated within a particular city planning context, such as urban development, zoning, or land-use planning.
-
C.
hasStreetPlan
Indicates that an entity possesses or is associated with a specific layout or design plan for its streets.
-
D.
cityOfPlanning
Indicates the city where the planning or design activities for something (e.g., a project, event, or development) are carried out.
-
E.
urbanPlanApproved
Indicates that an official authority has reviewed and formally authorized a proposed urban development or land-use plan.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727ad9ff88190ba8069dd48b2e98f |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 29, 2026, 7:11 p.m.