Triple
T23923362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellsund |
E602278
|
entity |
| Predicate | hasActivityHistory |
P99136
|
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: [Bellsund, hasActivityHistory, whaling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActivityHistory Context triple: [Bellsund, hasActivityHistory, whaling]
-
A.
hasHistoryIn
chosen
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
B.
hasCorporateActionHistory
Indicates that an entity is associated with a record or sequence of past corporate actions or events that have affected it.
-
C.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
D.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
-
E.
hasHistoricalDetail
Indicates that something includes or is associated with specific information about past events, contexts, or developments.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1abd148190a8393418ed965019 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:41 p.m.