Triple
T38215201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian tugboat Yany Kapu |
E1010665
|
entity |
| Predicate | missionAtTimeOfIncident |
P145080
|
FINISHED |
| Object | transit from Odesa to Mariupol via Kerch Strait |
—
|
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: transit from Odesa to Mariupol via Kerch Strait | Statement: [Ukrainian tugboat Yany Kapu, missionAtTimeOfIncident, transit from Odesa to Mariupol via Kerch Strait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionAtTimeOfIncident Context triple: [Ukrainian tugboat Yany Kapu, missionAtTimeOfIncident, transit from Odesa to Mariupol via Kerch Strait]
-
A.
missionDuringIncident
chosen
Indicates that a mission or operation took place concurrently with, or in the context of, a specific incident.
-
B.
cargoAtTimeOfAccident
Indicates that a specified cargo was present or being carried at the moment an accident occurred.
-
C.
flagAtTimeOfAccident
Indicates that a particular flag or status was in effect at the specific time when the accident occurred.
-
D.
missionAtTimeOfSinking
Indicates that a vessel was engaged in a specific mission or operational role at the time it sank.
-
E.
accidentOccurredDuring
Indicates that an accident took place within the time span or context of a specified event, activity, or condition.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:30 p.m.