Triple
T12916993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Navorski |
E309010
|
entity |
| Predicate | reasonForStranding |
P107000
|
FINISHED |
| Object | bureaucratic immigration limbo |
—
|
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: bureaucratic immigration limbo | Statement: [Viktor Navorski, reasonForStranding, bureaucratic immigration limbo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForStranding Context triple: [Viktor Navorski, reasonForStranding, bureaucratic immigration limbo]
-
A.
causeOfShipwreck
Indicates the factor, event, or condition that directly led to a shipwreck occurring.
-
B.
isAbandonedAtSeaBy
Indicates that one entity is deliberately left behind or deserted at sea by another entity.
-
C.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
-
D.
strandedLocationType
Indicates the type or category of place where an entity is stranded.
-
E.
strandedWith
Indicates that one entity is stuck or left without means to leave in the company or presence of another entity.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:41 p.m.