Triple
T21685540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilahi-nama |
E535219
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Sana'i |
—
|
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: Sana'i | Statement: [Ilahi-nama, author, Sana'i]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sana'i Context triple: [Ilahi-nama, author, Sana'i]
-
A.
Sana'i
chosen
Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
-
B.
Shamsa
Shamsa is a member of Dubai’s ruling Al Maktoum family, known internationally for her alleged abduction and forced return to the United Arab Emirates after attempting to escape in 2000.
-
C.
Sahnaya
Sahnaya is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
-
D.
Sanaig
Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
-
E.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ca668481909f53853c7a8ea811 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.