Triple
T720315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Malay |
E14600
|
entity |
| Predicate | modernDescendant |
P10101
|
FINISHED |
| Object | Standard Malay |
E23976
|
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: Standard Malay | Statement: [Old Malay, modernDescendant, Standard Malay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standard Malay Context triple: [Old Malay, modernDescendant, Standard Malay]
-
A.
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.
-
B.
MALAYSIAN
MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
-
C.
Old Malay
Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime Southeast Asia.
-
D.
Standard English
Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
-
E.
Standard Chinese
Standard Chinese is the official standardized form of the Chinese language, based primarily on the Beijing dialect of Mandarin and used as the national lingua franca of China.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9a1dcc81908bdb7b960765fde5 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654de91bc819088d495c8a9cb4133 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.