Triple
T9718917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faiyum Oasis |
E235411
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object | Hawara |
E370879
|
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: Hawara | Statement: [Faiyum Oasis, hasArchaeologicalSite, Hawara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawara Context triple: [Faiyum Oasis, hasArchaeologicalSite, Hawara]
-
A.
Hawara
chosen
Hawara is an archaeological site in Egypt’s Faiyum region, best known for its Middle Kingdom pyramid complex and the famed “Labyrinth” described by ancient writers.
-
B.
El-Basaliya
El-Basaliya is a town located in Egypt’s Aswan Governorate, a region known for its Nile-side settlements and proximity to major Nubian and ancient Egyptian heritage sites.
-
C.
Kafr El Battikh
Kafr El Battikh is a town in Egypt’s Nile Delta region, situated within the Damietta Governorate and known for its agricultural and local trade activities.
-
D.
Badawiyya
Badawiyya is a Sufi order originating in Egypt and associated with the veneration and teachings of the 13th-century mystic Ahmad al-Badawi.
-
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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d59e0c8c8190888b56d75f9ba2c2 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:20 p.m.