Triple
T9928054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukkies |
E187972
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tuks |
E187971
|
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: Tuks | Statement: [Tukkies, alsoKnownAs, Tuks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuks Context triple: [Tukkies, alsoKnownAs, Tuks]
-
A.
Tuks
chosen
Tuks is a major South African university sports and cultural nickname referring to the University of Pretoria.
-
B.
Tuka
Tuka is a surname most notably associated with Vojtech Tuka, a Slovak politician and leading figure of the World War II-era Slovak State.
-
C.
Tuka
Tuka is the affectionate self-referential name used by the 17th-century Marathi saint-poet Tukaram in his devotional abhangas.
-
D.
Fundi
Fundi was an ancient town in central Italy that served as an important settlement of the Volsci people before coming under Roman control.
-
E.
Makuxi
Makuxi is an indigenous people of northern Brazil and neighboring regions, known for their distinct language, culture, and traditional practices in the Amazonian savanna.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59d7ad08190982a1584547190bd |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228c23a2c81908fa2cb3a4f90d198 |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:43 p.m.