Triple
T10321375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seyfo |
E242145
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sayfo |
E242144
|
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: Sayfo | Statement: [Seyfo, alsoKnownAs, Sayfo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayfo Context triple: [Seyfo, alsoKnownAs, Sayfo]
-
A.
Sayfo
chosen
Sayfo is the term used by Assyrians to refer to the World War I–era genocide in which large numbers of Assyrian Christians were massacred in the Ottoman Empire.
-
B.
Qabiha
Qabiha was a consort of the Abbasid caliph al-Mu'tamid, associated with the 9th-century Abbasid court.
-
C.
Shosha
Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
-
D.
Beni Iznasen
Beni Iznasen are a Berber (Amazigh) ethnic group from northeastern Morocco, known for their distinct language and cultural traditions.
-
E.
Gevaot
Gevaot is an Israeli settlement in the Gush Etzion bloc of the West Bank, known for its strategic location and political significance in the Israeli–Palestinian conflict.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cce38c8190bfa0f2fb53ed0065 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d9b2ad881909f3076f8f9d1b1d3 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.