Triple
T8258305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya |
E193124
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Meya |
E721229
|
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: Meya | Statement: [Maya, hasSpellingVariant, Meya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meya Context triple: [Maya, hasSpellingVariant, Meya]
-
A.
Meya
chosen
Meya is a variant form of the given name Maya, often used as a feminine personal name.
-
B.
Mylasa
Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
-
C.
Mawanella
Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
-
D.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
E.
Maiwa
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fce9308190ac36512e80b06b52 |
completed | March 31, 2026, 7:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd681e22188190b07ce523e2554812 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:49 p.m.