Triple
T10093945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Swear |
E215814
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Qassaman |
E38153
|
NE 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: Qassaman | Statement: [We Swear, hasTitle, Qassaman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qassaman Context triple: [We Swear, hasTitle, Qassaman]
-
A.
Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
-
B.
Kuqa
Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
-
C.
Kassaman
chosen
Kassaman is the national anthem of Algeria, known for its revolutionary lyrics that honor the struggle for independence from French colonial rule.
-
D.
Qaʾan
Qaʾan is a Mongol imperial title signifying the supreme ruler of the Mongol Empire, comparable to the Great Khan.
-
E.
Qilwah
Qilwah is a town located in the Al Bahah Region of southwestern Saudi Arabia, known for its mountainous terrain and traditional rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30050fbec8190ab7807d64ab73e61 |
completed | April 6, 2026, 12:37 a.m. |
Created at: March 30, 2026, 9:01 p.m.