Triple
T27587068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rackspace |
E699711
|
entity |
| Predicate | hasDataCenterIn |
P19797
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Rackspace, hasDataCenterIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataCenterIn Context triple: [Rackspace, hasDataCenterIn, United States]
-
A.
dataCenterLocation
chosen
Indicates the geographical or physical location where a data center is situated or hosted.
-
B.
hasRAndDCenterIn
Indicates that an entity maintains a research and development (R&D) center located in a specified place.
-
C.
supportsDataCenterAbstraction
Indicates that one entity provides or enables an abstraction layer for representing or managing data center resources or functionality.
-
D.
hasInformationCenterFor
Indicates that one entity serves as an information center dedicated to providing information or services related to another entity.
-
E.
hasDispatchCenter
Indicates that an entity is served, managed, or coordinated by a specific dispatch center.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 2:04 p.m.