Triple
T1106435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachin Tendulkar |
E25497
|
entity |
| Predicate | testCapNumber |
P10947
|
FINISHED |
| Object | 187 |
—
|
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: 187 | Statement: [Sachin Tendulkar, testCapNumber, 187]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testCapNumber Context triple: [Sachin Tendulkar, testCapNumber, 187]
-
A.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
B.
numberOfTests
chosen
Indicates the quantity of tests associated with or performed in a given context or entity.
-
C.
plannedNumberOfTests
Indicates the total count of tests that are intended or scheduled to be conducted for a given context or period.
-
D.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
E.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.