Triple
T739434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Darwin (civil servant) |
E15209
|
entity |
| Predicate | dateOfDisappearance |
P18224
|
FINISHED |
| Object | 2002-03-21 |
—
|
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: 2002-03-21 | Statement: [John Darwin (civil servant), dateOfDisappearance, 2002-03-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfDisappearance Context triple: [John Darwin (civil servant), dateOfDisappearance, 2002-03-21]
-
A.
yearOfDisappearance
chosen
Indicates the specific year in which an entity disappeared or ceased to be present.
-
B.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
C.
dateOfLoss
Indicates the specific date on which a loss event (such as damage, theft, or other covered incident) occurred.
-
D.
dateOfSinking
Indicates the specific calendar date on which an entity (typically a vessel or structure) sank.
-
E.
wasDiscoveredAt
Indicates that an entity was found, identified, or uncovered at a specific place or during a particular event or context.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.