Triple
T38684229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Wadi |
E949069
|
entity |
| Predicate | hasStartupEcosystem |
P21372
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Silicon Wadi, hasStartupEcosystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartupEcosystem Context triple: [Silicon Wadi, hasStartupEcosystem, yes]
-
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.
hasEcosystemFocus
Indicates that something is oriented toward, concerned with, or primarily addressing a particular ecosystem or ecological system.
-
C.
operatesInEcosystem
Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
-
D.
hasInnovationHub
Indicates that an entity hosts, contains, or is associated with a dedicated center or facility focused on innovation activities.
-
E.
technologyEcosystem
Indicates the relationship in which technologies, organizations, and users interact and depend on each other as part of a broader, interconnected technological environment.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00be8ee4bc8190b795d9606f0e490c |
completed | May 10, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_6a00bde163c88190867104bd08cac2ee |
completed | May 10, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:33 p.m.