Triple
T28400222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Information System Centre |
E719375
|
entity |
| Predicate | roleInWMO |
P196360
|
FINISHED |
| Object | key hub in WMO Information System |
—
|
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: key hub in WMO Information System | Statement: [Global Information System Centre, roleInWMO, key hub in WMO Information System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWMO Context triple: [Global Information System Centre, roleInWMO, key hub in WMO Information System]
-
A.
oceanographicRole
Indicates a relationship where an entity has a specific function, responsibility, or role within the context of oceanographic research, observation, or operations.
-
B.
roleInUSCG
Indicates that one entity holds or held a specific role, position, or duty within the United States Coast Guard in relation to the other entity.
-
C.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
D.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
-
E.
roleInNomenclature
Indicates the specific function or status an entity holds within a particular naming or classification system.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69fe2f066ac48190882c327b7e69e53f |
completed | May 8, 2026, 6:44 p.m. |
Created at: April 28, 2026, 1:19 a.m.