Triple
T3641278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanir |
E77191
|
entity |
| Predicate | scholarlyInterpretation |
P3464
|
FINISHED |
| Object | mayReflectOlderAgrarianCultLayer |
—
|
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: mayReflectOlderAgrarianCultLayer | Statement: [Vanir, scholarlyInterpretation, mayReflectOlderAgrarianCultLayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyInterpretation Context triple: [Vanir, scholarlyInterpretation, mayReflectOlderAgrarianCultLayer]
-
A.
scholarlyView
chosen
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
B.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
C.
historicallyInterpretedBy
Indicates that something (such as an event, text, or phenomenon) has been given meaning, explanation, or understanding by a particular historian, group, or interpretive tradition over time.
-
D.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
E.
modernInterpretation
Indicates that one entity is a contemporary or updated interpretation, reading, or understanding of another entity.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc357c3308190bd8801d68244a53e |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.