Triple
T16890759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans-Mississippi and International Exposition |
E424163
|
entity |
| Predicate | postalIssueYear |
P48311
|
FINISHED |
| Object | 1898 |
—
|
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: 1898 | Statement: [Trans-Mississippi and International Exposition, postalIssueYear, 1898]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalIssueYear Context triple: [Trans-Mississippi and International Exposition, postalIssueYear, 1898]
-
A.
yearOfIssue
chosen
Indicates the specific calendar year in which something (such as a document, publication, or item) was formally issued or released.
-
B.
messageTransmissionYear
Indicates the year in which a message is transmitted from one entity to another.
-
C.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
D.
pardonYear
Indicates the year in which a pardon was officially granted for an offense or conviction.
-
E.
centuryOfIssue
Indicates the century during which something (such as a document, artifact, or work) was issued or produced.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc473d4819090cfea374ef5ca49 |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.