Triple
T4873246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medinet Habu |
E109135
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Nilometer |
E288245
|
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: Nilometer | Statement: [Medinet Habu, hasFeature, Nilometer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilometer Context triple: [Medinet Habu, hasFeature, Nilometer]
-
A.
Nilometer
chosen
The Nilometer is an ancient structure used in Egypt to measure the Nile River’s water level and predict flooding and agricultural conditions.
-
B.
Sufriyya
Sufriyya is a historical Islamic sect that emerged as a moderate branch of the Kharijites, known for its distinct theological and political positions in early Islamic history.
-
C.
Daburiyya
Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
-
D.
Ghanayem
Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
-
E.
She'eb
She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9fa0b08190ab1fc7ec395dca37 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f5b51c8190a8114450084d2b13 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.