Triple
T9247776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenandoah |
E222241
|
entity |
| Predicate | hasUnknownExactDateOfComposition |
P87775
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Shenandoah, hasUnknownExactDateOfComposition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnknownExactDateOfComposition Context triple: [Shenandoah, hasUnknownExactDateOfComposition, true]
-
A.
dateOfComposition
Indicates the calendar date or time period when a particular work was created or composed.
-
B.
hasUnknownAuthor
Indicates that the author of the entity is not known or cannot be identified.
-
C.
probableCenturyOfComposition
Indicates the century in which something (typically a work or composition) was most likely created or written.
-
D.
circaComposition
Indicates that one entity was composed or created around, but not exactly on, the time associated with another entity.
-
E.
uncertainBirthDate
Indicates that the exact birth date of an entity is not known or is only approximately specified.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f55a848190a59e7087cc07f6ef |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:31 p.m.