Triple
T2465441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lombok Strait |
E55235
|
entity |
| Predicate | shippingLaneStatus |
P40010
|
FINISHED |
| Object | heavily trafficked |
—
|
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: heavily trafficked | Statement: [Lombok Strait, shippingLaneStatus, heavily trafficked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shippingLaneStatus Context triple: [Lombok Strait, shippingLaneStatus, heavily trafficked]
-
A.
stateShip
Indicates that a ship is officially registered, documented, or associated with a particular state or governmental authority.
-
B.
ownedShippingLine
Indicates that one entity possessed legal ownership or controlling interest in a particular shipping line.
-
C.
statusOfLeadShip
Indicates the current condition or state assigned to the primary or leading ship in a given context or operation.
-
D.
containsShippingRoute
Indicates that one location or area includes within its boundaries a shipping route used for transporting goods or vessels.
-
E.
shippingFunction
Indicates the method or process by which goods are transported or delivered from a sender to a recipient.
- F. None of above. chosen
Provenance (4 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:44 p.m.