Triple
T27800417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel de Salcedo |
E702224
|
entity |
| Predicate | officeBefore |
P193111
|
FINISHED |
| Object | French transfer of Louisiana in the early 19th century |
—
|
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: French transfer of Louisiana in the early 19th century | Statement: [Manuel de Salcedo, officeBefore, French transfer of Louisiana in the early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeBefore Context triple: [Manuel de Salcedo, officeBefore, French transfer of Louisiana in the early 19th century]
-
A.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
B.
officeIs
Indicates that one entity serves as the office or official workplace location of another entity.
-
C.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
D.
officeIncludes
Indicates that an office contains, encompasses, or has within its scope a specified subordinate space, role, or resource.
-
E.
officeTransformedInto
Indicates that one office has been converted or changed into another office or a different type of space.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: April 27, 2026, 5:34 p.m.