Triple
T5385707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | motaqareb metre |
E120196
|
entity |
| Predicate | hasLineStructure |
P62938
|
FINISHED |
| Object | quantitative metre based on long and short syllables |
—
|
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: quantitative metre based on long and short syllables | Statement: [motaqareb metre, hasLineStructure, quantitative metre based on long and short syllables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineStructure Context triple: [motaqareb metre, hasLineStructure, quantitative metre based on long and short syllables]
-
A.
hasLineElementForm
Indicates that something takes the form or representation of a line element within a given structure or context.
-
B.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
C.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
D.
hasLineGroup
Indicates that one entity is associated with, or belongs to, a particular group or collection of lines.
-
E.
hasLineageStructure
Indicates that an entity participates in or exhibits a hierarchical ancestry or lineage-based structural relationship to other entities.
- F. None of above. chosen
Provenance (4 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f5a7388190aa4ba2052afca74e |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd853005088190b1b092a9beb090b2 |
completed | March 20, 2026, 5:34 p.m. |
Created at: March 20, 2026, 2:03 p.m.