Triple
T3749442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangalore Urban district |
E81291
|
entity |
| Predicate | majorTechnologyHub |
P21372
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bangalore Urban district, majorTechnologyHub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTechnologyHub Context triple: [Bangalore Urban district, majorTechnologyHub, true]
-
A.
isTechnologicalHubOf
chosen
Indicates that a location serves as a central focal point for technological activity, development, or innovation for another specified area or community.
-
B.
technologyField
Indicates the area or domain of technology in which an entity is involved, specialized, or categorized.
-
C.
technologyNode
Indicates a relationship where an entity is associated with, implemented in, or characterized by a specific technology node or process technology level.
-
D.
hasAdvancedTechnologySector
Indicates that an entity possesses or includes a developed sector focused on advanced or high-tech industries, products, or services.
-
E.
technologyType
Indicates the specific kind or category of technology associated with an entity or relationship.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6bf95c81909796fbc84995ae05 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.