Triple
T24346904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MV Goya |
E613664
|
entity |
| Predicate | typeOfDisaster |
P155803
|
FINISHED |
| Object | maritime disaster |
—
|
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: maritime disaster | Statement: [MV Goya, typeOfDisaster, maritime disaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDisaster Context triple: [MV Goya, typeOfDisaster, maritime disaster]
-
A.
notableDisasterType
Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
-
B.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
C.
disasterName
Indicates the specific name or title assigned to a particular disaster event.
-
D.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
E.
typeOfCrisis
Indicates the specific category or nature of a crisis that an entity is experiencing or associated with.
- 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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932978b88190afc441a3d4805e5f |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:58 a.m.