Triple
T7931423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zscaler |
E184196
|
entity |
| Predicate | operatesDataCentersIn |
P19797
|
FINISHED |
| Object | multiple regions worldwide |
—
|
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: multiple regions worldwide | Statement: [Zscaler, operatesDataCentersIn, multiple regions worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesDataCentersIn Context triple: [Zscaler, operatesDataCentersIn, multiple regions worldwide]
-
A.
dataCenterLocation
chosen
Indicates the geographical or physical location where a data center is situated or hosted.
-
B.
numberOfDistributionCenters
Indicates the quantity of distribution centers associated with a given entity.
-
C.
alsoOperatesIn
Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
-
D.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
E.
operatesInEcosystem
Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.