Triple
T9911034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Gran Pez |
E185141
|
entity |
| Predicate | hasNumberInSpanish |
P35097
|
FINISHED |
| Object | singular |
—
|
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: singular | Statement: [El Gran Pez, hasNumberInSpanish, singular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInSpanish Context triple: [El Gran Pez, hasNumberInSpanish, singular]
-
A.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within it.
-
B.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
C.
hasNumeral
Indicates that one entity is associated with a numeral representation or numeric symbol of another entity.
-
D.
hasNumberDistinction
chosen
Indicates that a language or system grammatically distinguishes between different numbers (such as singular, plural, dual, etc.) in its expressions.
-
E.
hasArabicNumeral
Indicates that an entity is associated with, represented by, or expressed using an Arabic numeral.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb512a26881908eb72a21ffb1efef |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.