Triple
T23844091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avul |
E591071
|
entity |
| Predicate | hasAbbreviationInNotableBearer |
P8075
|
FINISHED |
| Object | A. in A. P. J. Abdul Kalam |
—
|
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: A. in A. P. J. Abdul Kalam | Statement: [Avul, hasAbbreviationInNotableBearer, A. in A. P. J. Abdul Kalam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationInNotableBearer Context triple: [Avul, hasAbbreviationInNotableBearer, A. in A. P. J. Abdul Kalam]
-
A.
hasAbbreviationStatus
Indicates that an entity has a particular status or condition regarding its abbreviation (e.g., whether it is abbreviated, how, or to what extent).
-
B.
hasNameAbbreviation
chosen
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
C.
usesAbbreviationOf
Indicates that one entity employs a shortened or abbreviated form of the name or designation of another entity.
-
D.
canBeUsedWithAbbreviation
Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
-
E.
usesAbbreviationIn
Indicates that an entity is referred to by an abbreviated form within a specified context, source, or representation.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.