Triple
T19469012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallas’ sword-belt |
E487071
|
entity |
| Predicate | relationTypeToIliad |
P43530
|
FINISHED |
| Object | echoes Homeric scenes of spoils and recognition tokens |
—
|
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: echoes Homeric scenes of spoils and recognition tokens | Statement: [Pallas’ sword-belt, relationTypeToIliad, echoes Homeric scenes of spoils and recognition tokens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationTypeToIliad Context triple: [Pallas’ sword-belt, relationTypeToIliad, echoes Homeric scenes of spoils and recognition tokens]
-
A.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
relatedType
chosen
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
relationToCurie
Indicates a relational connection or association that one entity has specifically with Curie.
-
E.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.