Triple
T38216600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of the Turkmen Soviet Socialist Republic |
E1010701
|
entity |
| Predicate | hadPlanningAgency |
P138385
|
FINISHED |
| Object |
State Planning Committee of the Turkmen Soviet Socialist Republic
The State Planning Committee of the Turkmen Soviet Socialist Republic was the central economic planning authority responsible for formulating and overseeing the republic’s development plans within the broader Soviet planned economy.
|
E2261700
|
NE FINISHED |
How this triple was built (3 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: State Planning Committee of the Turkmen Soviet Socialist Republic | Statement: [Government of the Turkmen Soviet Socialist Republic, hadPlanningAgency, State Planning Committee of the Turkmen Soviet Socialist Republic]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: State Planning Committee of the Turkmen Soviet Socialist Republic Triple: [Government of the Turkmen Soviet Socialist Republic, hadPlanningAgency, State Planning Committee of the Turkmen Soviet Socialist Republic]
Generated description
The State Planning Committee of the Turkmen Soviet Socialist Republic was the central economic planning authority responsible for formulating and overseeing the republic’s development plans within the broader Soviet planned economy.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPlanningAgency Context triple: [Government of the Turkmen Soviet Socialist Republic, hadPlanningAgency, State Planning Committee of the Turkmen Soviet Socialist Republic]
-
A.
hadAgency
Indicates that an entity actively initiated, controlled, or was responsible for an action or outcome, rather than being a passive participant.
-
B.
hasRegionalPlanningOrganization
Indicates that an entity is associated with or served by a specific regional planning organization responsible for coordinated planning activities in that area.
-
C.
countryPlanningAgency
chosen
Indicates that a given organization functions as a governmental or official body responsible for planning and development activities within a specific country.
-
D.
plannedByOrganization
Indicates that an organization is responsible for planning, organizing, or arranging the referenced activity, event, or entity.
-
E.
hasPlannedInstitution
Indicates that an entity has an associated institution that is intended or scheduled to be established or implemented in the future.
- F. None of above.
Provenance (6 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41854d4d7c819094cb7a21f4af02bf |
completed | June 28, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_6a4186b3781081908887adeb512a91af |
completed | June 28, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41874f1a3c8190815cfbc8ca837893 |
completed | June 28, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.