Triple
T9058344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Always |
E217059
|
entity |
| Predicate | certificationNetherlands |
P86141
|
FINISHED |
| Object | Gold |
—
|
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: Gold | Statement: [Always, certificationNetherlands, Gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationNetherlands Context triple: [Always, certificationNetherlands, Gold]
-
A.
certificationUK
Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
-
B.
certificationGermany
Indicates that an entity holds or is associated with a certification that is valid, recognized, or issued in Germany.
-
C.
certificationFrance
Indicates that an entity holds or is associated with a certification that is specifically recognized, issued, or valid in France.
-
D.
certificationItaly
Indicates that an entity holds or is associated with a certification that is specifically issued, recognized, or valid in Italy.
-
E.
certificationSpain
Indicates that an entity holds or is associated with a certification that is valid, issued, or recognized in Spain.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.