Triple
T8366143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sassoun |
E197130
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Sasun |
E721159
|
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: Sasun | Statement: [Sassoun, knownAs, Sasun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasun Context triple: [Sassoun, knownAs, Sasun]
-
A.
Sasun
chosen
Sasun is a mountainous region in the Ottoman Empire (in present-day southeastern Turkey) historically inhabited by Armenians and known for its resistance and suffering during late 19th-century anti-Armenian violence.
-
B.
Yeghishe
Yeghishe was a prominent 5th-century Armenian historian and writer best known for his classic account of the Battle of Avarayr and the Armenian struggle for religious freedom.
-
C.
Abusahl-Hamazasp Artsruni
Abusahl-Hamazasp Artsruni was a medieval Armenian ruler from the Artsruni dynasty who reigned as king over the region of Vaspurakan.
-
D.
Bash Norashen
Bash Norashen was a historical town that served as the administrative center of the Sharur-Daralayaz uezd in the Russian Empire’s Erivan Governorate.
-
E.
Calouste
Calouste is an Armenian-British businessman and philanthropist best known for his pivotal role in the early oil industry and for founding the Calouste Gulbenkian Foundation.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808cf80c8190941c3cc0248a5df2 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d9dff0081908219f9b2690d97fe |
completed | April 2, 2026, 11:06 a.m. |
Created at: March 30, 2026, 6 p.m.