Triple
T9421117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malika |
E227152
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Malikah |
E227152
|
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: Malikah | Statement: [Malika, hasVariant, Malikah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malikah Context triple: [Malika, hasVariant, Malikah]
-
A.
Malika
chosen
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
-
B.
Maliku
Maliku is a dialect of the Lawangan language spoken by a subgroup of the Lawangan people in Indonesia.
-
C.
Maliku
Maliku is the traditional local name for Minicoy Island, a culturally distinct island in India’s Lakshadweep archipelago known for its unique Mahl-speaking community and seafaring heritage.
-
D.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
E.
Malik
Malik is a subtribe historically associated with the larger Arab tribal group of Kinana.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2528c8819087b0a21e703254b7 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1611c908c8190aea6768e5659c3ca |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 7:48 p.m.