Triple
T7313721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terena language |
E168156
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Xaneu |
E655597
|
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: Xaneu | Statement: [Terena language, hasAlternativeName, Xaneu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xaneu Context triple: [Terena language, hasAlternativeName, Xaneu]
-
A.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
B.
Xanéu
chosen
Xanéu is an alternative name for the Terena language, an Arawakan language spoken by the Terena people of Brazil.
-
C.
Xania
Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
-
D.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
E.
Axura
Axura is a brand-name medication containing memantine, commonly prescribed to treat moderate to severe Alzheimer's disease by helping regulate abnormal activity of the neurotransmitter glutamate in the brain.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec03a7248190beb1dec612725e5b |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeeedea88190a17cf6b83abc10d8 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.