Triple
T5837463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian petroleum licensing rounds |
E129506
|
entity |
| Predicate | firstLicensingRound |
P67474
|
FINISHED |
| Object | 1965 Norwegian licensing round |
—
|
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: 1965 Norwegian licensing round | Statement: [Norwegian petroleum licensing rounds, firstLicensingRound, 1965 Norwegian licensing round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLicensingRound Context triple: [Norwegian petroleum licensing rounds, firstLicensingRound, 1965 Norwegian licensing round]
-
A.
firstRoundDate
Indicates the date on which the first round of an event, process, or competition takes place.
-
B.
firstReleaseRegion
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
C.
firstMintingPeriodStart
Indicates the point in time when the initial minting period for a given asset or token begins.
-
D.
firstDeployed
Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
-
E.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:54 p.m.