Triple
T2843729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahab |
E62531
|
entity |
| Predicate | transportConnectionTo |
P37664
|
FINISHED |
| Object | Nuweiba |
E229846
|
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: Nuweiba | Statement: [Dahab, transportConnectionTo, Nuweiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuweiba Context triple: [Dahab, transportConnectionTo, 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.
Marsa al-Brega
Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
-
C.
Ras al-Ghar
Ras al-Ghar is a key coastal military installation in Saudi Arabia that serves as one of the principal bases for the Royal Saudi Naval Forces.
-
D.
Bahraich
Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
-
E.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1a07508190be35fe85733ddeed |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.