Triple
T37846111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World’s Largest Book |
E943604
|
entity |
| Predicate | numberOfStupas |
P204424
|
FINISHED |
| Object | 729 |
—
|
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: 729 | Statement: [The World’s Largest Book, numberOfStupas, 729]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStupas Context triple: [The World’s Largest Book, numberOfStupas, 729]
-
A.
hasStupa
Indicates that one entity possesses, contains, or features a stupa as part of its structure, property, or composition.
-
B.
numberOfOpenworkStupas
Indicates the count of openwork stupas associated with or present at a given subject.
-
C.
hasStupaNearby
Indicates that one entity is located in proximity to a stupa associated with another entity.
-
D.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
E.
centralStupaHeight
Indicates the height measurement of the central stupa in a given structure or site.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.