Triple
T35959067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Bannockburn wreck |
E1039946
|
entity |
| Predicate | disappearedInYear |
P18224
|
FINISHED |
| Object | 1902 |
—
|
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: 1902 | Statement: [SS Bannockburn wreck, disappearedInYear, 1902]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disappearedInYear Context triple: [SS Bannockburn wreck, disappearedInYear, 1902]
-
A.
yearOfDisappearance
chosen
Indicates the specific year in which an entity disappeared or ceased to be present.
-
B.
disappearedAfter
Indicates that one entity ceased to be present, visible, or detectable following the occurrence or completion of another entity or event.
-
C.
disappearedDuring
Indicates that an entity ceased to be observable or present during the time span or event associated with another entity.
-
D.
disappearanceOf
Indicates that one entity ceases to exist, be present, or be observable in relation to another entity, context, or time.
-
E.
timeOfDisappearance
Indicates the specific time at which an entity disappeared or was last observed to no longer be present.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.