Triple
T6288086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Histories |
E140948
|
entity |
| Predicate | lostBooks |
P70698
|
FINISHED |
| Object | Books VI–XIV |
—
|
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: Books VI–XIV | Statement: [Histories, lostBooks, Books VI–XIV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostBooks Context triple: [Histories, lostBooks, Books VI–XIV]
-
A.
traditionalBooks
Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
-
B.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
C.
lostIn
Indicates that an entity has become unable to find its way or is no longer in control or possession within a particular place, situation, or context.
-
D.
lost
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
E.
lostOrDestroyed
Indicates that something has ceased to exist in its original, usable form, either by being misplaced beyond recovery or physically destroyed.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c06284848c8190a0151ff3e8682889 |
completed | March 22, 2026, 9:43 p.m. |
Created at: March 22, 2026, 4:26 p.m.