Triple
T1189581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senkaku Islands |
E25325
|
entity |
| Predicate | hasFrequent |
P1097
|
FINISHED |
| Object | maritime patrols |
—
|
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: maritime patrols | Statement: [Senkaku Islands, hasFrequent, maritime patrols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrequent Context triple: [Senkaku Islands, hasFrequent, maritime patrols]
-
A.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
B.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
C.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
D.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
-
E.
frequentlyVisitedBy
chosen
Indicates that an entity is regularly or often visited by another entity.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd57c3c481908bdca483fcaa3297 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.