Triple
T8645014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanamahism |
E204751
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Sanamahi |
E566350
|
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: Sanamahi | Statement: [Sanamahism, hasDeity, Sanamahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanamahi Context triple: [Sanamahism, hasDeity, Sanamahi]
-
A.
Sanamahi
chosen
Sanamahi is a principal household and creator deity in the traditional Meitei religion of Manipur, revered as a protector of families and the universe.
-
B.
Amadioha
Amadioha is a major deity in Igbo traditional religion, revered as the god of thunder, lightning, justice, and moral order.
-
C.
Hamaki
Hamaki was the Japanese nickname, meaning "cigar," for the Mitsubishi G4M, a long-range World War II bomber known for its distinctive cylindrical fuselage and lack of armor.
-
D.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
E.
Sikaiana
Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc479999c881908c0c4e01c07d02d4 |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccb10f0881908db334cd090d3231 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:28 p.m.