Triple
T24137374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing Fortress I |
E598125
|
entity |
| Predicate | originalUSDesignation |
P97629
|
FINISHED |
| Object | B-17C |
—
|
NE NERFINISHED |
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: B-17C | Statement: [Boeing Fortress I, originalUSDesignation, B-17C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalUSDesignation Context triple: [Boeing Fortress I, originalUSDesignation, B-17C]
-
A.
americanDesignation
chosen
Indicates that one entity is the official American name, title, or designation for another entity.
-
B.
internationalDesignation
Indicates that an entity has been assigned a formal status, code, or recognition by an international body or under an internationally agreed system.
-
C.
ChineseDesignation
Indicates that one entity serves as the Chinese-language name, title, or designation for another entity.
-
D.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
E.
originalUSStereoDesignationFor
Indicates that one entity is the original U.S. stereo designation assigned to another related audio or recording entity.
- 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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7d30a0819092ecea0cf58c2332 |
completed | April 29, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:27 p.m.