Triple
T28760234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agua de Beber |
E731788
|
entity |
| Predicate | hasAccentedTitle |
P115200
|
FINISHED |
| Object | Água de Beber |
—
|
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: Água de Beber | Statement: [Agua de Beber, hasAccentedTitle, Água de Beber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccentedTitle Context triple: [Agua de Beber, hasAccentedTitle, Água de Beber]
-
A.
hasTitleAccentMarks
chosen
Indicates that the title contains one or more accented characters or diacritical marks.
-
B.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
-
C.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
D.
hasAcronymInTitle
Indicates that the title of an entity includes a shortened form or acronym of another specified term or name.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 6:11 a.m.