Triple
T18763072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "What Hath God Wrought?" |
E458823
|
entity |
| Predicate | yearAssociated |
P133441
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: ["What Hath God Wrought?", yearAssociated, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAssociated Context triple: ["What Hath God Wrought?", yearAssociated, 2007]
-
A.
yearObserved
Indicates the specific calendar year during which the referenced event, condition, or measurement was observed or recorded.
-
B.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
C.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
-
D.
yearDepicted
Indicates the specific year in which the subject is portrayed, represented, or set.
-
E.
yearOfReference
Indicates the specific year to which a statement, measurement, or data point is intended to apply or be interpreted with reference.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:52 a.m.