Triple
T34195126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murphy's War |
E877218
|
entity |
| Predicate | hasBoatOrShip |
P194381
|
FINISHED |
| Object | seaplane used by Murphy |
—
|
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: seaplane used by Murphy | Statement: [Murphy's War, hasBoatOrShip, seaplane used by Murphy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoatOrShip Context triple: [Murphy's War, hasBoatOrShip, seaplane used by Murphy]
-
A.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
B.
hasShipBoats
Indicates that one entity possesses, operates, or is otherwise associated with one or more ship boats.
-
C.
canRideBoat
Indicates that an entity has the ability or permission to travel using a boat.
-
D.
hasBlueBoatRelationship
Indicates a relationship in which one entity possesses, controls, or is associated with a boat that is characterized by the color blue.
-
E.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: May 1, 2026, 1:55 a.m.