Triple
T10438728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzal G. Ent |
E246110
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uzal |
E246109
|
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: Uzal | Statement: [Uzal G. Ent, givenName, Uzal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uzal Context triple: [Uzal G. Ent, givenName, Uzal]
-
A.
Uzal
chosen
Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
-
B.
Yasa'ur
Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
-
C.
Zau
Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
-
D.
Aligudarz
Aligudarz is a city in western Iran known for its mountainous surroundings and location within Lorestan Province.
-
E.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ba23c81909eac3aea292b2bd3 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eccf4908190b16b82abfb0b8d43 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.