Triple
T33942636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godspeed (ship) |
E870205
|
entity |
| Predicate | numberOfCompanionShips |
P861
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Godspeed (ship), numberOfCompanionShips, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCompanionShips Context triple: [Godspeed (ship), numberOfCompanionShips, 2]
-
A.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
B.
numberOfShipsInvolved
chosen
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
C.
otherShipsInFleet
Indicates that the subject ship and the object ship are distinct members of the same fleet.
-
D.
engagedEnemyShips
Indicates that one or more entities have actively attacked, exchanged fire with, or otherwise entered into direct combat with enemy ships.
-
E.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a036f0569cc8190a8ac7f4e07145d15 |
completed | May 12, 2026, 6:18 p.m. |
| PD | Predicate disambiguation | batch_6a036c42cf2481908760c7d48b9fc001 |
completed | May 12, 2026, 6:06 p.m. |
Created at: May 1, 2026, 1:49 a.m.