Triple
T8106315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xeneizes |
E189234
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object | Xeneize |
E189234
|
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: Xeneize | Statement: [Xeneizes, hasAlternativeForm, Xeneize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xeneize Context triple: [Xeneizes, hasAlternativeForm, Xeneize]
-
A.
Xeneizes
chosen
Xeneizes is the popular nickname for Argentine football club Boca Juniors and its supporters, reflecting the club’s strong Italian (Genoese) immigrant roots.
-
B.
Xelb
Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
-
C.
Neox
Neox is a Spanish television channel owned by Atresmedia that primarily targets young audiences with a mix of series, films, and entertainment programs.
-
D.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
E.
Ruxience
Ruxience is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f735c8819090d0d822644c0a51 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe994fc881908a43cfdf9f28753c |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:31 p.m.