Triple
T129892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Promised Land |
E2630
|
entity |
| Predicate | initialPrintRun |
P3998
|
FINISHED |
| Object | 3.4 million copies |
—
|
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: 3.4 million copies | Statement: [A Promised Land, initialPrintRun, 3.4 million copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialPrintRun Context triple: [A Promised Land, initialPrintRun, 3.4 million copies]
-
A.
firstEditionPrintRun
chosen
Indicates the initial quantity of copies produced when a work is printed in its first published edition.
-
B.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
C.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
operationStart
Indicates the point in time or event at which a specific operation or process begins.
-
E.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.