Triple
T14513147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equirria |
E340447
|
entity |
| Predicate | honorsAspectOfMars |
P60804
|
FINISHED |
| Object | Mars as protector of fields |
—
|
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: Mars as protector of fields | Statement: [Equirria, honorsAspectOfMars, Mars as protector of fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsAspectOfMars Context triple: [Equirria, honorsAspectOfMars, Mars as protector of fields]
-
A.
honorsAspectOf
chosen
Indicates that one entity shows respect, recognition, or reverence specifically toward a particular aspect, quality, or facet of another entity.
-
B.
dedicationAspectOfJuno
Indicates that the dedication specifically concerns an aspect, epithet, or particular manifestation of the deity Juno.
-
C.
eraOfSignificance
Indicates the historical period or timeframe during which an entity was particularly important, influential, or noteworthy.
-
D.
emphasizesAspectOfDeity
Indicates that one entity highlights, stresses, or draws special attention to a particular attribute, role, or dimension of a deity.
-
E.
recognizedAsDwarfPlanetBy
Indicates that one entity is classified or acknowledged as a dwarf planet by a specified authority, organization, or source.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.