Triple
T10601022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beheira Governorate |
E275745
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Rashid |
E875958
|
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: Rashid | Statement: [Beheira Governorate, hasPort, Rashid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rashid Context triple: [Beheira Governorate, hasPort, Rashid]
-
A.
Rashid
Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
-
B.
Rashid
chosen
Rashid, also known as Rosetta, is a historic port city in northern Egypt famed for the discovery of the Rosetta Stone.
-
C.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Rasheed
Rasheed is a masculine given name most notably associated with former NBA star Rasheed Wallace.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a23e24881909afb009baa0ef662 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 7:31 p.m.