Triple
T1261212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle (10-dollar gold coin) |
E12504
|
entity |
| Predicate | lastYearOfRegularIssue |
P26375
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Eagle (10-dollar gold coin), lastYearOfRegularIssue, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastYearOfRegularIssue Context triple: [Eagle (10-dollar gold coin), lastYearOfRegularIssue, 1933]
-
A.
lastEdition
Indicates that one entity is the most recent or final edition/version within a series or sequence of editions.
-
B.
lastSeriesIssued
Indicates that the related entity is the most recent or final series that has been issued in a sequence.
-
C.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
D.
lastLifetimeEditionYear
Indicates the year in which the most recent lifetime edition of an entity (such as a work or product) was issued or became available.
-
E.
currentIssue
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd98b62c8190a5f6710345c0537d |
completed | March 1, 2026, 10:28 p.m. |
Created at: March 1, 2026, 7:50 p.m.