Triple
T5565420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahaziah |
E145867
|
entity |
| Predicate | shipProject |
P64820
|
FINISHED |
| Object | Fleet at Ezion-geber that was wrecked |
—
|
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: Fleet at Ezion-geber that was wrecked | Statement: [Ahaziah, shipProject, Fleet at Ezion-geber that was wrecked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipProject Context triple: [Ahaziah, shipProject, Fleet at Ezion-geber that was wrecked]
-
A.
project
Indicates that an entity plans, organizes, or carries out a structured effort or initiative aimed at achieving a specific goal or outcome.
-
B.
sideProjectOf
Indicates that one activity, endeavor, or project is a secondary or supplementary effort carried out alongside a primary or main project.
-
C.
architecturalProject
Indicates that one entity is an architectural project associated with, created by, or undertaken for another entity.
-
D.
projectModel
Indicates a relationship where one entity serves as a model, template, or representation for a project or projected outcome involving another entity.
-
E.
projectFaced
Indicates that a project encountered or experienced specific challenges, obstacles, or conditions during its course.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02033cc308190895f13454c57f452 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:36 p.m.