Triple
T18022654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safa |
E431162
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | Сафa |
—
|
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: Сафa | Statement: [Safa, hasNameForm, Сафa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Сафa Context triple: [Safa, hasNameForm, Сафa]
-
A.
Sarafand
Sarafand is a coastal village in southern Lebanon, traditionally identified as the modern site of the ancient Phoenician city of Zarephath.
-
B.
Safa
chosen
Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
-
C.
Safonovo
Safonovo is a small industrial town in western Russia known for its role in the regional energy and manufacturing sectors within Smolensk Oblast.
-
D.
Saafi
Saafi is a Niger-Congo Atlantic language spoken primarily by the Saafi people of Senegal.
-
E.
Siyavash
Siyavash is a tragic prince and hero in the Persian epic Shahnameh, renowned for his innocence, loyalty, and unjust death.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c3a2c48190bbe4a0581466cd2f |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.