Triple
T946614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Waste Land |
E20426
|
entity |
| Predicate | numberOfSections |
P1632
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [The Waste Land, numberOfSections, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSections Context triple: [The Waste Land, numberOfSections, 5]
-
A.
hasSectionCount
chosen
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
B.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
C.
numberOfColumns
Indicates the total count of vertical divisions (columns) associated with or contained in a given structure or dataset.
-
D.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
E.
numberOfGroups
Indicates the total count of distinct groups associated with or formed within a given context or 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29f05f481908814bd11f235e9d0 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.