Triple
T3643305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faifi Arabic |
E77238
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Faifi |
E378792
|
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: Faifi | Statement: [Faifi Arabic, hasAlternativeName, Faifi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faifi Context triple: [Faifi Arabic, hasAlternativeName, Faifi]
-
A.
Faifi
chosen
Faifi is a modern South Arabian language variety spoken by the Faifi people in the mountainous Jazan region of southwestern Saudi Arabia.
-
B.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
C.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
-
D.
Hassan
Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
-
E.
Hassan
Hassan is a person known primarily as the sibling of Murad Mirza.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35acf2c81908f60168e93b773b1 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c38f989c8190befc64db51041a53 |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:24 p.m.