Triple
T5638367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Souls |
E124203
|
entity |
| Predicate | numberOfCompletedParts |
P65347
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Dead Souls, numberOfCompletedParts, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCompletedParts Context triple: [Dead Souls, numberOfCompletedParts, 1]
-
A.
numberOfPartitions
Indicates the total count of distinct partitions into which a given set, resource, or structure is divided.
-
B.
partiallyCompleted
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
-
C.
numberOfFragmentsApprox
Indicates an approximate count of how many fragments or pieces are associated with the subject.
-
D.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
-
E.
subsequentParts
Indicates that one entity consists of or is followed by additional parts that come after an initial segment in a sequence or structure.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022820b7c81908f79c0a124d6b940 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.