Triple
T7347284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ميت رهينة |
E169410
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object | منف |
E659435
|
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: منف | Statement: [ميت رهينة, hasArchaeologicalSite, منف]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: منف Context triple: [ميت رهينة, hasArchaeologicalSite, منف]
-
A.
منف
chosen
منف هي مدينة مصرية قديمة كانت عاصمة تاريخية لمصر ومركزًا دينيًا وسياسيًا مهمًا خاصة لعبادة الإله بتاح.
-
B.
Mianeh
Mianeh is a significant city in northwestern Iran known as an important urban and transportation center in the East Azerbaijan region.
-
C.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
D.
Миџор
Миџор је највиши врх Старе планине у Србији, смештен на граници са Бугарском и познат по планинарењу и живописним планинским пејзажима.
-
E.
Ghanayem
Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f14f308190a9e5cb76c7790e49 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b24194819096b796de15d66ed2 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:05 p.m.