Triple
T33845467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU (Zimbabwe) |
E867466
|
entity |
| Predicate | endedFollowing |
P177782
|
FINISHED |
| Object | 2013 constitutional and electoral process completion |
—
|
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: 2013 constitutional and electoral process completion | Statement: [GNU (Zimbabwe), endedFollowing, 2013 constitutional and electoral process completion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedFollowing Context triple: [GNU (Zimbabwe), endedFollowing, 2013 constitutional and electoral process completion]
-
A.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
-
B.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
-
C.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
D.
adoptedFollowing
Indicates that one entity formally took on or implemented another entity after or as a result of the occurrence of a preceding event, state, or action.
-
E.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.