Triple
T27780379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Gale Fishing Company |
E699318
|
entity |
| Predicate | hasVesselStatus |
P70147
|
FINISHED |
| Object | lost at sea (Andrea Gail) |
—
|
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: lost at sea (Andrea Gail) | Statement: [Sea Gale Fishing Company, hasVesselStatus, lost at sea (Andrea Gail)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVesselStatus Context triple: [Sea Gale Fishing Company, hasVesselStatus, lost at sea (Andrea Gail)]
-
A.
hasVessel
Indicates that one entity possesses, uses, or is associated with a particular vessel (such as a container, ship, or transport medium) in the context of the described relationship or action.
-
B.
hasVesselType
Indicates that an entity is associated with or classified by a specific type of vessel (e.g., ship, boat, or container).
-
C.
hasSeaportStatus
Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
-
D.
flagStateOfOneVessel
Indicates that one vessel is flying or registered under the national flag (state) of another vessel.
-
E.
hasMarineStatus
chosen
Indicates that an entity possesses a specific classification or condition related to its status in a marine or oceanic context.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 5:09 p.m.