Triple
T30449200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libya–United Kingdom relations |
E774661
|
entity |
| Predicate | normalizationStep |
P118900
|
FINISHED |
| Object | Libyan acceptance of responsibility for Lockerbie in early 2000s |
—
|
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: Libyan acceptance of responsibility for Lockerbie in early 2000s | Statement: [Libya–United Kingdom relations, normalizationStep, Libyan acceptance of responsibility for Lockerbie in early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalizationStep Context triple: [Libya–United Kingdom relations, normalizationStep, Libyan acceptance of responsibility for Lockerbie in early 2000s]
-
A.
normalizationInvolves
chosen
Indicates that a normalization process includes or makes use of a particular component, step, or element as part of its execution.
-
B.
normalizationAttempt
Indicates an effort to convert something into a standard or consistent form according to defined rules or criteria.
-
C.
refinesNormalization
Indicates that one normalization process or scheme improves, clarifies, or makes more precise another existing normalization.
-
D.
normalizationType
Indicates the specific method or scheme used to normalize or standardize data, values, or representations within a given context.
-
E.
haveNormalization
Indicates that one entity serves as a normalization or standardized form of another entity.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c1b7988190a0750c687c5d0dd1 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:09 p.m.