Triple
T18020215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MV Panagiotis |
E431095
|
entity |
| Predicate | hasMeaningOfPrefix |
P27718
|
FINISHED |
| Object | Motor Vessel |
—
|
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: Motor Vessel | Statement: [MV Panagiotis, hasMeaningOfPrefix, Motor Vessel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeaningOfPrefix Context triple: [MV Panagiotis, hasMeaningOfPrefix, Motor Vessel]
-
A.
hasPrefixMeaning
chosen
Indicates that one entity serves as a semantic prefix of another, contributing a specific meaning to the start of the second entity.
-
B.
hasPrepositionalPrefix
Indicates that one entity functions as a prepositional prefix attached to or modifying another entity.
-
C.
usedAsPrefixIn
Indicates that one element functions as a leading prefix component in the formation or representation of another element.
-
D.
hasPreposition
Indicates that one entity is associated with or linked to another entity through a specific prepositional relationship.
-
E.
hasMeaningCategory
Indicates that something is associated with a particular category of meaning or semantic type.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c1c5f88190a059ce4f86f7ed36 |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.