Triple
T33863169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLC 2006 |
E867973
|
entity |
| Predicate | appliesToShipsOf |
P90718
|
FINISHED |
| Object | 500 gross tonnage or over engaged in international voyages |
—
|
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: 500 gross tonnage or over engaged in international voyages | Statement: [MLC 2006, appliesToShipsOf, 500 gross tonnage or over engaged in international voyages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToShipsOf Context triple: [MLC 2006, appliesToShipsOf, 500 gross tonnage or over engaged in international voyages]
-
A.
appliesToShips
chosen
Indicates that the specified condition, rule, or attribute is relevant to or affects ships.
-
B.
usedForShips
Indicates that something is designed, intended, or suitable to be used for ships or ship-related purposes.
-
C.
shipsWith
Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
-
D.
supportsClassOfShip
Indicates that one entity is capable of accommodating, servicing, or otherwise functionally supporting a specified class of ship.
-
E.
usedShipsFrom
Indicates that one entity is the location or source from which used ships are sent, dispatched, or originate.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 1:47 a.m.