Triple
T2418183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahua |
E52354
|
entity |
| Predicate | notableLoanword |
P11431
|
FINISHED |
| Object | chocolate |
—
|
LITERAL 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: chocolate | Statement: [Nahua, notableLoanword, chocolate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLoanword Context triple: [Nahua, notableLoanword, chocolate]
-
A.
loanwordsFrom
chosen
Indicates that one language has borrowed words from another language.
-
B.
notableDialect
Indicates that an entity is recognized for having a distinct or noteworthy dialect associated with it.
-
C.
hasNotableWord
Indicates that an entity is associated with a word or term that is considered notable, distinctive, or significant in some context.
-
D.
notableUse
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
E.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- F. None of above.
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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.