Triple
T13936953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Destruction of Troy |
E335143
|
entity |
| Predicate | metricalFeatures |
P46136
|
FINISHED |
| Object | long alliterative lines |
—
|
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: long alliterative lines | Statement: [The Destruction of Troy, metricalFeatures, long alliterative lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metricalFeatures Context triple: [The Destruction of Troy, metricalFeatures, long alliterative lines]
-
A.
metricalFeature
chosen
Indicates a relationship where one entity specifies or characterizes a metrical property or pattern of another entity.
-
B.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
C.
localSymmetry
Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
-
D.
ornamentalFeature
Indicates that one entity serves as a decorative or embellishing feature of another entity.
-
E.
deformationFeatures
Indicates the presence or characteristics of structural changes or distortions (such as folds, faults, or warps) affecting an object or material.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:17 p.m.