Triple
T10891759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN data centre |
E257193
|
entity |
| Predicate | roleInGrid |
P96257
|
FINISHED |
| Object | Tier-0 centre |
—
|
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: Tier-0 centre | Statement: [CERN data centre, roleInGrid, Tier-0 centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInGrid Context triple: [CERN data centre, roleInGrid, Tier-0 centre]
-
A.
roleInSection106
Indicates that an entity has a specific role or involvement within the context of Section 106 (typically of a legal or regulatory framework).
-
B.
roleInAssembly
Indicates the specific function, position, or responsibility an entity holds within a particular assembly or gathering.
-
C.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
D.
roleInCommandStructure
Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
-
E.
roleInCluster
Indicates the specific function or position an entity holds within a defined group or cluster of related entities.
- F. None of above. chosen
Provenance (4 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.