Triple
T179674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Norway |
E3655
|
entity |
| Predicate | predecessorTitle |
P2939
|
FINISHED |
| Object | King of Norway and Sweden |
—
|
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: King of Norway and Sweden | Statement: [King of Norway, predecessorTitle, King of Norway and Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorTitle Context triple: [King of Norway, predecessorTitle, King of Norway and Sweden]
-
A.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
B.
previousTitle
chosen
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
C.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
-
D.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
E.
formerName
Indicates that an entity was previously known by a different name in the past.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a25900709c8190a65e778936be5dd5 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.