Triple
T11816336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Wales (ship) |
E281008
|
entity |
| Predicate | sailedWith |
P880
|
FINISHED |
| Object | Charlotte (ship) |
E281006
|
NE 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: Charlotte (ship) | Statement: [Prince of Wales (ship), sailedWith, Charlotte (ship)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte (ship) Context triple: [Prince of Wales (ship), sailedWith, Charlotte (ship)]
-
A.
Charlotte (ship)
chosen
Charlotte was one of the convict transport ships of the First Fleet that carried prisoners and settlers from Britain to establish the first European colony in Australia in 1788.
-
B.
Tune ship
The Tune ship is a well-preserved Viking Age burial ship discovered in Norway, notable for its early excavation and display as a key example of Scandinavian seafaring culture.
-
C.
Gil Eannes hospital ship
The Gil Eannes hospital ship is a restored mid-20th-century Portuguese hospital and support vessel, now serving as a museum ship and cultural landmark in Viana do Castelo.
-
D.
Trudy Ship
Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
-
E.
Queen Mary (ship)
Queen Mary is a retired British ocean liner, now permanently moored in Long Beach, California, where it serves as a floating hotel, museum, and tourist attraction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ccbbd481908c9013cb5a50c079 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28110623481908354bdd4e437f99e |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:42 p.m.