Triple
T12331355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perro semihundido |
E293966
|
entity |
| Predicate | mainSubjectPosition |
P3046
|
FINISHED |
| Object | lower part of the composition |
—
|
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: lower part of the composition | Statement: [Perro semihundido, mainSubjectPosition, lower part of the composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSubjectPosition Context triple: [Perro semihundido, mainSubjectPosition, lower part of the composition]
-
A.
subjectPosition
chosen
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
B.
hasSubjectPosition
Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
-
C.
workSubjectPosition
Indicates that a work (such as a publication or creative piece) is associated with a subject that occupies a specific position or ordering within a list or sequence of subjects.
-
D.
primaryPosition
Indicates the main role, job, or position an entity holds among potentially multiple positions.
-
E.
subjectMVP
Indicates that the subject is considered the most valuable player (MVP) in a given context or event.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.