Triple
T21051141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawad |
E518584
|
entity |
| Predicate | languageOfUse |
P237
|
FINISHED |
| Object | Malay |
—
|
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: Malay | Statement: [Jawad, languageOfUse, Malay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malay Context triple: [Jawad, languageOfUse, Malay]
-
A.
Malay
Malay refers to an Austronesian ethnic group native to the Malay Peninsula and parts of Southeast Asia, sharing a common language, culture, and Islamic heritage.
-
B.
Malay
Malay is an American record producer and songwriter best known for his work with artists like Frank Ocean, John Legend, and Zayn.
-
C.
Malay
chosen
Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
-
D.
MALAYSIAN
MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
-
E.
Pahang Malay
Pahang Malay is a regional variety of the Malay language spoken primarily in the Malaysian state of Pahang, characterized by its distinct phonology and vocabulary within the Malay dialect continuum.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7bd96c81909cb46419ad4e1222 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:35 p.m.