Triple
T25265288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Struma |
E633412
|
entity |
| Predicate | flagAtTimeOfVoyage |
P158076
|
FINISHED |
| Object | Panama |
—
|
NE NERFINISHED |
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: Panama | Statement: [Struma, flagAtTimeOfVoyage, Panama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagAtTimeOfVoyage Context triple: [Struma, flagAtTimeOfVoyage, Panama]
-
A.
flagAtTimeOfSinking
Indicates the national flag under which a vessel was registered or sailing at the specific time it sank.
-
B.
flagStateOfOneVessel
Indicates that one vessel is flying or registered under the national flag (state) of another vessel.
-
C.
flagStateOfOtherVessel
Indicates the national flag or registry state under which another vessel is operating.
-
D.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
E.
missionAtTimeOfSinking
Indicates that a vessel was engaged in a specific mission or operational role at the time it sank.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4839787908190a5fc04739139cee8 |
completed | May 1, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:14 p.m.