Triple
T36123189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Superior City wreck |
E1044799
|
entity |
| Predicate | originalLaunchPlace |
P204750
|
FINISHED |
| Object | Great Lakes shipyard in the United States |
—
|
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: Great Lakes shipyard in the United States | Statement: [SS Superior City wreck, originalLaunchPlace, Great Lakes shipyard in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLaunchPlace Context triple: [SS Superior City wreck, originalLaunchPlace, Great Lakes shipyard in the United States]
-
A.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
B.
capitalOfOrigin
Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
-
C.
releasePlace
Indicates the location where an entity is released, issued, or made publicly available.
-
D.
originalLocationType
Indicates the type or category of the place where something was originally located or came from.
-
E.
firstProductionPlace
Indicates the location where something was originally or first produced.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.