Triple
T7924898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCIE Data Center |
E184034
|
entity |
| Predicate | hasGlobalRecognition |
P12842
|
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: [CCIE Data Center, hasGlobalRecognition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalRecognition Context triple: [CCIE Data Center, hasGlobalRecognition, true]
-
A.
hasRecognitionScope
Indicates the extent or context within which a recognition, award, or acknowledgment is valid or applies.
-
B.
hasTraditionalRecognition
Indicates that an entity is acknowledged or honored according to established customs, practices, or longstanding cultural traditions.
-
C.
haveInternationalRecognition
chosen
Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
-
D.
hasOfficialRecognition
Indicates that an entity has been formally acknowledged or approved by an authorized body or institution.
-
E.
hasGlobalReach
Indicates that an entity’s influence, operations, or impact extends across multiple countries or worldwide.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aad48908190911905b4635bf01e |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:06 p.m.