Triple
T19261594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menkent |
E481660
|
entity |
| Predicate | hasTraditionalName |
P17611
|
FINISHED |
| Object | Menkent |
—
|
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: Menkent | Statement: [Menkent, hasTraditionalName, Menkent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menkent Context triple: [Menkent, hasTraditionalName, Menkent]
-
A.
Menkent
chosen
Menkent is a prominent K-type giant star in the constellation Centaurus, visible to the naked eye and known for its orange hue.
-
B.
Nakasero
Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
-
C.
Gomainggura
Gomainggura is an alternative name for the Giabal, an Aboriginal Australian people traditionally associated with the Darling Downs region of Queensland.
-
D.
Mangbetu
The Mangbetu are a Central African ethnic group in northeastern Democratic Republic of the Congo, renowned for their distinctive art, music, and historically for their tradition of skull elongation.
-
E.
Ohangaron
Ohangaron is a city in eastern Uzbekistan that serves as an industrial and agricultural center within the Tashkent Region.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.