Triple
T34495538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kai Tak Cruise Terminal |
E885595
|
entity |
| Predicate | maximumShipTonnage |
P45572
|
FINISHED |
| Object | 220000 GT |
—
|
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: 220000 GT | Statement: [Kai Tak Cruise Terminal, maximumShipTonnage, 220000 GT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumShipTonnage Context triple: [Kai Tak Cruise Terminal, maximumShipTonnage, 220000 GT]
-
A.
maxVesselTonnage
chosen
Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
-
B.
maximumShipBeam
Indicates the greatest allowable or observed width of a ship across its widest point.
-
C.
maximumTonnageLimitedBy
Indicates that the maximum allowable tonnage of one entity is constrained or capped by the capacity or limit specified by another entity.
-
D.
typicalPassengerCapacityPerShip
Indicates the usual number of passengers that a ship of a given type or class is designed or expected to carry.
-
E.
shipLength
Indicates the physical length measurement of a ship.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 1, 2026, 2:01 a.m.