Triple
T15907403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amal |
E385754
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Amaal |
E385754
|
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: Amaal | Statement: [Amal, hasVariantSpelling, Amaal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amaal Context triple: [Amal, hasVariantSpelling, Amaal]
-
A.
Amaala
Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
-
B.
Aambalantu
Aambalantu is a dialect of the Ovambo language spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
-
C.
Amal
chosen
Amal is a feminine given name of Arabic origin meaning "hope" or "aspiration," used in various cultures around the world.
-
D.
Kamaal
Kamaal is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that conveys meanings related to perfection or excellence.
-
E.
Amanush
Amanush is a 1975 Bengali-Hindi thriller drama film, widely remembered for Uttam Kumar’s acclaimed performance and its exploration of betrayal and redemption in a rural setting.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.