Triple
T18496391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | February 10, 2011 Mubarak speech |
E451958
|
entity |
| Predicate | demandedByProtesters |
P94743
|
FINISHED |
| Object | immediate resignation of Hosni Mubarak |
—
|
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: immediate resignation of Hosni Mubarak | Statement: [February 10, 2011 Mubarak speech, demandedByProtesters, immediate resignation of Hosni Mubarak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demandedByProtesters Context triple: [February 10, 2011 Mubarak speech, demandedByProtesters, immediate resignation of Hosni Mubarak]
-
A.
demanded
Indicates that one entity forcefully or insistently requested something from another entity.
-
B.
numberOfProtesters
Indicates the total count of individuals participating as protesters in a given event or context.
-
C.
demandedReformFrom
chosen
Indicates that one party insisted that another party implement or agree to specific changes or reforms.
-
D.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
E.
hasLanguageOfProtest
Indicates that an entity expresses or embodies a language, style, or discourse of protest in relation to another entity or context.
- F. None of above.
Provenance (3 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c09a8081909cf0b44df3682bb8 |
completed | April 19, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.