Triple
T18397756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatma Aliye |
E449911
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Refet |
—
|
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: Refet | Statement: [Fatma Aliye, notableWork, Refet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Refet Context triple: [Fatma Aliye, notableWork, Refet]
-
A.
Refet
chosen
Refet is a masculine given name of Turkish origin, historically borne by several notable Ottoman and Turkish figures.
-
B.
Nabaloi
Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
-
C.
Emar
Emar was an ancient Near Eastern city on the Euphrates River, known as a significant Late Bronze Age administrative and cultural center whose rich cuneiform archives have illuminated Hittite and Syrian history.
-
D.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
E.
Omerelu
Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184879548190b7f428e2d4c2caa4 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.