Triple
T20898830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mecidiye Nişanı |
E514613
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Osmaniye Nişanı |
—
|
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: Osmaniye Nişanı | Statement: [Mecidiye Nişanı, followedBy, Osmaniye Nişanı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osmaniye Nişanı Context triple: [Mecidiye Nişanı, followedBy, Osmaniye Nişanı]
-
A.
Osmaniye Nişanı
Osmaniye Nişanı was a high-ranking chivalric and merit order of the Ottoman Empire, awarded for distinguished military and civil service.
-
B.
Mecidiye Nişanı
Mecidiye Nişanı was an Ottoman chivalric order established in the 19th century by Sultan Abdülmecid I to honor military and civil merit.
-
C.
Nishan-i-Osmanieh
chosen
Nishan-i-Osmanieh was a prestigious chivalric order of the Ottoman Empire, awarded for distinguished military and civil merit.
-
D.
Albayrak
Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
-
E.
Novo-Bayazet
Novo-Bayazet is a historical town in the South Caucasus region that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f92bd88190b59b2131ad1d9aa1 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.