Triple
T15703989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Degree Channel |
E380660
|
entity |
| Predicate | shippingHazard |
P1950
|
FINISHED |
| Object | subject to strong currents during monsoon |
—
|
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: subject to strong currents during monsoon | Statement: [Ten Degree Channel, shippingHazard, subject to strong currents during monsoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shippingHazard Context triple: [Ten Degree Channel, shippingHazard, subject to strong currents during monsoon]
-
A.
hasHazardousMaterialsRestrictions
Indicates that there are rules or limitations governing the presence, handling, or transport of hazardous materials in relation to the subject.
-
B.
shippingRisk
Indicates the level or likelihood of potential loss, damage, or delay associated with transporting goods from one location to another.
-
C.
hazmatSupport
Indicates that one entity provides hazardous materials (hazmat) response or support services to another entity or situation.
-
D.
hasNotableHazard
Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
-
E.
hazardType
chosen
Indicates the specific kind or category of hazard associated with an entity or situation.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.