Triple
T30896291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Libyan General National Congress election |
E787029
|
entity |
| Predicate | numberOfPoliticalEntities |
P202741
|
FINISHED |
| Object | over 140 |
—
|
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: over 140 | Statement: [2012 Libyan General National Congress election, numberOfPoliticalEntities, over 140]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPoliticalEntities Context triple: [2012 Libyan General National Congress election, numberOfPoliticalEntities, over 140]
-
A.
numberOfGovernments
Indicates the count of distinct governments associated with or involved in a given entity or context.
-
B.
featuresPoliticalEntity
Indicates that something includes, presents, or prominently involves a political entity in its content or composition.
-
C.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
D.
numberOfGovernment
Indicates the quantity of governmental bodies or administrations associated with an entity.
-
E.
hasNumberOfAdministrativeTerritorialEntities
Indicates the count of administrative territorial units (such as states, provinces, or districts) that an entity is divided into or comprises.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00b34364448190b8c9948d5a24d845 |
completed | May 10, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a00b2e4f13c819081bac7d763c414ad |
completed | May 10, 2026, 4:31 p.m. |
| PDg | Predicate description generation | batch_6a00b342b39c8190b54d6d85ddafb085 |
completed | May 10, 2026, 4:33 p.m. |
Created at: April 29, 2026, 8:49 p.m.