Triple
T37212322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Reims |
E922639
|
entity |
| Predicate | hasUrbanPlanningCompetence |
P61342
|
FINISHED |
| Object | local urban plans |
—
|
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: local urban plans | Statement: [Grand Reims, hasUrbanPlanningCompetence, local urban plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanPlanningCompetence Context triple: [Grand Reims, hasUrbanPlanningCompetence, local urban plans]
-
A.
hasUrbanPlanning
chosen
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
B.
hasUrbanPlanner
Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
-
C.
hasUrbanDesign
Indicates that an entity possesses or is associated with a specific urban design plan, feature, or configuration.
-
D.
hasUrbanPlanningRule
Indicates that an entity is subject to, governed by, or associated with a specific urban planning rule or regulation.
-
E.
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.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.