Triple
T23065498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Minya Governorate |
E575027
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Samalut |
—
|
NE NERFINISHED |
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: Samalut | Statement: [Al Minya Governorate, containsCity, Samalut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samalut Context triple: [Al Minya Governorate, containsCity, Samalut]
-
A.
Samalut
chosen
Samalut is a city in Upper Egypt situated on the west bank of the Nile within the Minya Governorate.
-
B.
Samal
Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
-
C.
Samal
Samal refers to the Sama people, a seafaring Austronesian ethnic group of Maritime Southeast Asia known for their traditional boat-dwelling lifestyle.
-
D.
Satakopa
Satakopa is the revered honorific name of Nammalvar, one of the most important Tamil Vaishnavite poet-saints of the Alvar tradition.
-
E.
Surmalu
Surmalu is a historical region in the South Caucasus, known for its Armenian cultural heritage and its location around the city of Iğdır near Mount Ararat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a3e39481909cad356ad0bb3ee6 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.