Triple
T29289181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Housing Development Corporation |
E742610
|
entity |
| Predicate | isUrbanPlannerFor |
P65920
|
FINISHED |
| Object | Hulhumalé |
—
|
NE NERFINISHED |
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: Hulhumalé | Statement: [Housing Development Corporation, isUrbanPlannerFor, Hulhumalé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanPlannerFor Context triple: [Housing Development Corporation, isUrbanPlannerFor, Hulhumalé]
-
A.
hasUrbanPlanner
chosen
Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
-
B.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
C.
roleInUrbanPlan
Indicates the specific function, responsibility, or position an entity holds within an urban planning context or scheme.
-
D.
hasUrbanDesign
Indicates that an entity possesses or is associated with a specific urban design plan, feature, or configuration.
-
E.
hasUrbanDesignFocus
Indicates a relationship where an entity is concerned with, oriented toward, or specialized in urban design as a primary focus.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6653e73e081908ea14f73f88d5648 |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:01 p.m.