Triple
T87091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five-Year Plans for the National Economy of the Soviet Union |
E1750
|
entity |
| Predicate | keySector |
P4053
|
FINISHED |
| Object | heavy industry |
—
|
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: heavy industry | Statement: [Five-Year Plans for the National Economy of the Soviet Union, keySector, heavy industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keySector Context triple: [Five-Year Plans for the National Economy of the Soviet Union, keySector, heavy industry]
-
A.
keyPerson
Indicates that a person plays a primary, central, or critically important role in relation to an organization, project, or entity.
-
B.
keyIndex
Indicates the position or numerical index assigned to a specific key within an ordered set or collection of keys.
-
C.
typicalKey
Indicates that the referenced key is the standard or most commonly used key associated with an entity or context.
-
D.
keyConference
Indicates that an entity is a major or primary conference associated with another entity (such as a person, organization, or event).
-
E.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a2503c12808190a3cbb7b171f466f0 |
completed | Feb. 28, 2026, 2:17 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.