Triple
T9500495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afif Governorate |
E229123
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Afif |
E205235
|
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: Afif | Statement: [Afif Governorate, administrativeCenter, Afif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afif Context triple: [Afif Governorate, administrativeCenter, Afif]
-
A.
Afif
chosen
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
B.
Aykah
Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
-
C.
Afizere
Afizere is a Plateau language spoken by the Afizere (Jarawa) people primarily in and around Jos in central Nigeria.
-
D.
Awjila
Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
-
E.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.