Triple
T17262401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi people |
E419038
|
entity |
| Predicate | writingSystem |
P454
|
FINISHED |
| Object | Modern Yi syllabary |
E748954
|
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: Modern Yi syllabary | Statement: [Yi people, writingSystem, Modern Yi syllabary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modern Yi syllabary Context triple: [Yi people, writingSystem, Modern Yi syllabary]
-
A.
Yi script
chosen
Yi script is a traditional logographic and syllabic writing system used to represent the Yi languages of southwestern China.
-
B.
Hangul Syllables
Hangul Syllables is the Unicode block that encodes the precomposed modern Korean syllabic characters used for writing Hangul.
-
C.
Hangul Jamo
Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
-
D.
Hunminjeongeum
Hunminjeongeum is the 15th-century Korean document promulgated by King Sejong that introduced and explained the newly created Korean alphabet, now known as Hangul.
-
E.
Sorabe script
The Sorabe script is an Arabic-derived writing system historically used by Malagasy speakers, particularly in southern Madagascar, for religious, literary, and administrative texts.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171041f2c81909bf52025d68912fc |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:40 a.m.