Triple
T388776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillwood Development |
E8835
|
entity |
| Predicate | hasProjectType |
P12865
|
FINISHED |
| Object | Industrial parks |
—
|
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: Industrial parks | Statement: [Hillwood Development, hasProjectType, Industrial parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProjectType Context triple: [Hillwood Development, hasProjectType, Industrial parks]
-
A.
supportsProjectType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
-
B.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
C.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
D.
hasStageType
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
-
E.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5988708190aa86d9460cecf050 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96960608190bdd342da9c5ddb5e |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ebac09408190be802b96bb203d5f |
completed | Feb. 28, 2026, 1:20 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.