Triple
T22313677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Santa Cruz Island |
E551586
|
entity |
| Predicate | hasSecurityConcernHistory |
P54960
|
FINISHED |
| Object | area has had travel advisories in the past |
—
|
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: area has had travel advisories in the past | Statement: [Great Santa Cruz Island, hasSecurityConcernHistory, area has had travel advisories in the past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityConcernHistory Context triple: [Great Santa Cruz Island, hasSecurityConcernHistory, area has had travel advisories in the past]
-
A.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
B.
hasSecurityConsideration
Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
-
C.
securityHistory
chosen
Indicates a record of past security-related events, states, or changes associated with an entity.
-
D.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
E.
hasPriorHistory
Indicates that an entity has a previously recorded occurrence, condition, or involvement relevant to the current context.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15750f76c81909d6f788928f503f1 |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.