Triple
T13048504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condroz |
E327385
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Perwez |
E698487
|
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: Perwez | Statement: [Condroz, containsSettlement, Perwez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perwez Context triple: [Condroz, containsSettlement, Perwez]
-
A.
Perwez
chosen
Perwez is a municipality in the province of Walloon Brabant in the French-speaking Walloon region of Belgium.
-
B.
Pervez
Pervez is the given name of Pervez Musharraf, the former President and military ruler of Pakistan.
-
C.
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.
-
D.
Izzat
Izzat is the given name of Izzat Ibrahim al-Douri, a prominent Iraqi Ba'athist military commander and political figure.
-
E.
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.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd8f1308190992c0bd832e1b05e |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:57 p.m.