Triple
T35966490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Daniel J. Morrell shipwreck |
E1040155
|
entity |
| Predicate | aftSection |
P3120
|
FINISHED |
| Object | sank quickly |
—
|
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: sank quickly | Statement: [SS Daniel J. Morrell shipwreck, aftSection, sank quickly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aftSection Context triple: [SS Daniel J. Morrell shipwreck, aftSection, sank quickly]
-
A.
section
chosen
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
B.
usesSectionOf
Indicates that one entity makes use of a specific section or part of another entity.
-
C.
sectionalFramework
Indicates a structural relationship where something is organized or supported as part of a larger whole through distinct sections or segments.
-
D.
extendedSection
Indicates that one section is a continuation or elaborated extension of another section.
-
E.
afterAD
Indicates that one event, action, or state occurs later in time than another, serving as its temporal successor.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.