Triple
T1275473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Egyptian presidential election |
E27202
|
entity |
| Predicate | internationalObservation |
P28285
|
FINISHED |
| Object | limited and constrained |
—
|
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: limited and constrained | Statement: [2018 Egyptian presidential election, internationalObservation, limited and constrained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalObservation Context triple: [2018 Egyptian presidential election, internationalObservation, limited and constrained]
-
A.
hasInternationalObservances
Indicates that certain internationally recognized observance days, weeks, or years are associated with or designated for the entity.
-
B.
involvedInternationalOrganization
Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
-
C.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
D.
internationalOrganizationStatus
Indicates that an entity holds a recognized status or role within an international organization.
-
E.
countryObservedIn
Indicates that an entity has been observed or recorded within the geographical boundaries of a specified country.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c31400c08190a07ccb736df3bf54 |
completed | March 1, 2026, 10:52 p.m. |
Created at: March 1, 2026, 7:50 p.m.