Triple
T18496659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enough |
E451964
|
entity |
| Predicate | hasSlogan |
P42
|
FINISHED |
| Object | Kefaya |
—
|
NE NERFINISHED |
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: Kefaya | Statement: [Enough, hasSlogan, Kefaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kefaya Context triple: [Enough, hasSlogan, Kefaya]
-
A.
Kefaya
chosen
Kefaya is an Egyptian grassroots political movement known for opposing authoritarian rule and calling for democratic reforms in the 2000s.
-
B.
Hedaya
Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
-
C.
Al-Muzahimiyah
Al-Muzahimiyah is a town in central Saudi Arabia that serves as a growing satellite community west of Riyadh.
-
D.
Khatam
Khatam is a city in central Iran that serves as an administrative and population center within Yazd Province.
-
E.
Al-Haqqah
Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 11:35 a.m.