Triple
T22217433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuweiba Port |
E549112
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nuweiba |
—
|
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: Nuweiba | Statement: [Nuweiba Port, locatedIn, Nuweiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuweiba Context triple: [Nuweiba Port, locatedIn, Nuweiba]
-
A.
Nuweiba
chosen
Nuweiba is a coastal town in Egypt’s Sinai Peninsula known for its port on the Gulf of Aqaba and its role as a gateway for regional maritime travel and tourism.
-
B.
Ain Sebaa
Ain Sebaa is a coastal industrial and residential district of Casablanca, Morocco, known for its factories, port-related activities, and working-class neighborhoods.
-
C.
El Khroub
El Khroub is a town and commune in northeastern Algeria that serves as one of the main urban centers of Constantine Province.
-
D.
Ammoudia
Ammoudia is a small coastal village in northwestern Greece, known for its sandy beach and location at the mouth of the Acheron River.
-
E.
El Sebaia
El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8ddb448190a45f0418d813afd0 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.