Triple
T7347319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badrashin Markaz |
E169411
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Badrashin city |
E659444
|
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: Badrashin city | Statement: [Badrashin Markaz, administrativeCenter, Badrashin city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badrashin city Context triple: [Badrashin Markaz, administrativeCenter, Badrashin city]
-
A.
Badrashin city
chosen
Badrashin city is an urban center in Giza Governorate, Egypt, known for its proximity to several important archaeological and historical sites from ancient Egypt.
-
B.
Farah city
Farah city is the capital of Farah Province in southwestern Afghanistan, serving as a regional center for trade and agriculture.
-
C.
Zaqatala city
Zaqatala city is an administrative and economic center in northwestern Azerbaijan, known for its multicultural population and proximity to the Caucasus Mountains.
-
D.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
E.
Shamshabad
Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
- 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.