Triple
T30460202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tin Can Island |
E774982
|
entity |
| Predicate | mailSystemInvolvedRisk |
P136373
|
FINISHED |
| Object | dangerous sea conditions for swimmers |
—
|
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: dangerous sea conditions for swimmers | Statement: [Tin Can Island, mailSystemInvolvedRisk, dangerous sea conditions for swimmers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mailSystemInvolvedRisk Context triple: [Tin Can Island, mailSystemInvolvedRisk, dangerous sea conditions for swimmers]
-
A.
hasRiskFrom
chosen
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
B.
mailSystemType
Indicates the type or category of mail system associated with or used by an entity.
-
C.
spamIssue
Indicates that an entity is associated with a problem or concern related to spam, such as unwanted or unsolicited messages.
-
D.
mailTypesHandled
Indicates that an entity is capable of processing or dealing with specific types or categories of mail.
-
E.
mailboxModel
Indicates a relationship where an entity functions as or is associated with a specific mailbox configuration or structural model.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:10 p.m.