Triple
T14152339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorky |
E350714
|
entity |
| Predicate | politicalSystemDuringNameUse |
P113024
|
FINISHED |
| Object | communist state |
—
|
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: communist state | Statement: [Gorky, politicalSystemDuringNameUse, communist state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalSystemDuringNameUse Context triple: [Gorky, politicalSystemDuringNameUse, communist state]
-
A.
politicalSystemDuringRule
Indicates the type of political system that was in place during a particular ruler’s period of governance.
-
B.
laterPoliticalSystemUnderRule
Indicates that one political system came under the rule or authority of another political system at a later point in time.
-
C.
politicalSystemHistorical
Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
-
D.
historicalRegime
Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
-
E.
officialNameDuringPeriod
Indicates that an entity had a specific official name that was valid only during a particular time period.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:57 a.m.