Triple
T15800222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clipper Maid of the Seas |
E383077
|
entity |
| Predicate | registrationStatusAfter1988-12-21 |
P120112
|
FINISHED |
| Object | destroyed |
—
|
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: destroyed | Statement: [Clipper Maid of the Seas, registrationStatusAfter1988-12-21, destroyed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationStatusAfter1988-12-21 Context triple: [Clipper Maid of the Seas, registrationStatusAfter1988-12-21, destroyed]
-
A.
legalStatusAfter1980
Indicates the legal status or condition that an entity holds specifically for the period after the year 1980.
-
B.
legalStatusAfter1989
Indicates the legal status or condition that an entity holds from the year 1989 onward, typically reflecting changes due to laws or regulations enacted at or after that time.
-
C.
legalStatusAfter1983
Indicates the legal status or classification that an entity holds starting from the year 1983 onward.
-
D.
legalStatusAfter1990
Indicates the legal status or condition of an entity as it applies from the year 1990 onward.
-
E.
legalStatusAfter1992
Indicates the legal status or condition that an entity holds from the year 1992 onward, typically reflecting changes due to laws or regulations effective after that date.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e135b08190b736e77bac5e2bff |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:48 a.m.