Triple
T22309979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Island |
E551485
|
entity |
| Predicate | hasEconomicActivityHistory |
P1099
|
FINISHED |
| Object | whaling |
—
|
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: whaling | Statement: [Bear Island, hasEconomicActivityHistory, whaling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicActivityHistory Context triple: [Bear Island, hasEconomicActivityHistory, whaling]
-
A.
hasEconomicActivity
chosen
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
B.
hasEconomicActivityLevel
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
-
C.
hasMajorEmployerHistory
Indicates that an entity has a documented history of employment with a major or significant employer.
-
D.
hasPastOccupation
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
E.
hasEntrepreneurialActivity
Indicates that an entity engages in or is associated with starting, managing, or operating business or venture-related activities.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.