Triple
T20202116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Yassin |
E493247
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Al Yassin |
—
|
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: Al Yassin | Statement: [Al-Yassin, hasSpellingVariant, Al Yassin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Yassin Context triple: [Al-Yassin, hasSpellingVariant, Al Yassin]
-
A.
Al-Yassin
chosen
Al-Yassin is the maiden family name of Queen Rania of Jordan, associated with her Palestinian Jordanian heritage.
-
B.
Ahmad Shukeiri
Ahmad Shukeiri was a Palestinian lawyer and politician who became the founding chairman of the Palestine Liberation Organization (PLO) in the 1960s.
-
C.
Ahmad al-Najjar
Ahmad al-Najjar was a leading figure in the Egyptian Islamic Jihad, an Islamist militant organization involved in violent opposition to the Egyptian government and linked to broader jihadist movements.
-
D.
Jamāl al-Gaššī
Jamāl al-Gaššī is a former Palestinian militant known for his involvement in the 1972 Munich Olympics attack as a member of the Black September organization.
-
E.
Ali al-Gharbi
Ali al-Gharbi is a town in southeastern Iraq situated along the Tigris River in Maysan Governorate.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.