Triple
T3272844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Husayn Bayqara |
E68689
|
entity |
| Predicate | patronOf |
P2320
|
FINISHED |
| Object | Jami |
E147807
|
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: Jami | Statement: [Husayn Bayqara, patronOf, Jami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jami Context triple: [Husayn Bayqara, patronOf, Jami]
-
A.
Jami
chosen
Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
-
B.
Jarma
Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
-
C.
Jale
Jale is a town located in the Darbhanga district of the Indian state of Bihar.
-
D.
Jales
Jales is a municipality in the northwest region of the state of São Paulo, Brazil, known as a local commercial and agricultural center.
-
E.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff6308881908886a44804a0bb09 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e83e11f081909d64287c0902124a |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.