Triple
T29194738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelino |
E740093
|
entity |
| Predicate | isDiminutiveInLanguage |
P456
|
FINISHED |
| Object | Spanish |
E664
|
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: Spanish | Statement: [Marcelino, isDiminutiveInLanguage, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDiminutiveInLanguage Context triple: [Marcelino, isDiminutiveInLanguage, Spanish]
-
A.
hasDiminutive
chosen
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
isMinorityLanguageVariety
Indicates that a language variety is used by a numerically or socially smaller group within a larger linguistic community, often with less institutional power or recognition.
-
C.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
-
D.
isEndonym
Indicates that a name is used by a group to refer to themselves or their own place/language, rather than being an external or foreign designation.
-
E.
hasEndonym
Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
- F. None of above.
Provenance (4 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663c164dc8190bd2f20a656ecaff7 |
completed | May 2, 2026, 8:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569b81c008190a96188c8f84e510b |
completed | June 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:03 p.m.