Triple
T15335599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakahlia Governorate |
E366655
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mit Ghamr |
E665925
|
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: Mit Ghamr | Statement: [Dakahlia Governorate, hasCity, Mit Ghamr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mit Ghamr Context triple: [Dakahlia Governorate, hasCity, Mit Ghamr]
-
A.
Mit Ghamr
chosen
Mit Ghamr is an industrial and commercial city in Egypt’s Nile Delta, known historically as a center for aluminum production and early Islamic banking experiments.
-
B.
Al Ghanama
Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
C.
Bir Ghbalou
Bir Ghbalou is a town and commune located in Bouira Province in northern Algeria.
-
D.
Al Daayen
Al Daayen is a municipality in northeastern Qatar known for its rapidly developing residential areas and proximity to the capital, Doha.
-
E.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f11b88819089342e8b088bc95e |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.