Triple
T12916844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qadisiyyah Governorate |
E309007
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Afak |
E840836
|
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: Afak | Statement: [Qadisiyyah Governorate, hasMajorCity, Afak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afak Context triple: [Qadisiyyah Governorate, hasMajorCity, Afak]
-
A.
Afak
chosen
Afak is a town in modern-day Iraq located near the site of the ancient Mesopotamian city of Nuffar (Nippur).
-
B.
Afa
Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
-
C.
Fakui
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
-
D.
Ashaki
Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
-
E.
Fata
Fata are the Roman personifications of fate, equivalent to the Parcae, who determine the destinies and lifespans of humans and gods.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a571a3e48190a32d362adc6eaee2 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.