Triple
T7841630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walloon Brabant |
E181816
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Perwez
Perwez is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
|
E698487
|
NE FINISHED |
How this triple was built (4 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: Perwez | Statement: [Walloon Brabant, hasMunicipality, Perwez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perwez Context triple: [Walloon Brabant, hasMunicipality, Perwez]
-
A.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
B.
Maharraqa
Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
-
C.
Shahzada
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
D.
Khushal
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
-
E.
Agha
Agha was a high-ranking Ottoman military and administrative title often associated with commanders and senior officials, including leaders of elite units like the Janissaries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Perwez Triple: [Walloon Brabant, hasMunicipality, Perwez]
Generated description
Perwez is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perwez Target entity description: Perwez is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
-
A.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
B.
Maharraqa
Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
-
C.
Shahzada
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
D.
Khushal
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
-
E.
Agha
Agha was a high-ranking Ottoman military and administrative title often associated with commanders and senior officials, including leaders of elite units like the Janissaries.
- F. None of above. chosen
Provenance (5 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c6cbe48190b73df491de1004c3 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ad44ff081908954395aef6ac78b |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb5f1afe0c8190916c7a9b2eab9270 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb766e41fc8190a08f07d04774053a |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:47 p.m.