Triple
T13366636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aswan Museum |
E318953
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Aswan city center |
E11620
|
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: Aswan city center | Statement: [Aswan Museum, nearbyAttraction, Aswan city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aswan city center Context triple: [Aswan Museum, nearbyAttraction, Aswan city center]
-
A.
Aswan
chosen
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
B.
Abu Simbel town
Abu Simbel town is a small settlement in southern Egypt best known as the modern community serving visitors to the famous rock-cut Abu Simbel temples near the Sudanese border.
-
C.
Shebin El Qanater
Shebin El Qanater is a city in Egypt’s Qalyubia Governorate, located in the Nile Delta north of Cairo.
-
D.
Beni Suef city
Beni Suef city is an urban center in Upper Egypt located on the west bank of the Nile, known as an important regional hub for agriculture, industry, and administration.
-
E.
Sadat City
Sadat City is a planned industrial and residential city in Egypt, developed as part of the country’s strategy to create new urban centers and relieve population pressure on major metropolitan areas.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd652d48190a782fd1f57f34b6a |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f754718a388190b4b85151a4694435 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:32 p.m.