Triple
T3902904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of All India Trade Union Congress |
E90536
|
entity |
| Predicate | alternativeLanguageTitle |
P43484
|
FINISHED |
| Object | AITUC Adhyaksh (Hindi) |
—
|
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: AITUC Adhyaksh (Hindi) | Statement: [President of All India Trade Union Congress, alternativeLanguageTitle, AITUC Adhyaksh (Hindi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeLanguageTitle Context triple: [President of All India Trade Union Congress, alternativeLanguageTitle, AITUC Adhyaksh (Hindi)]
-
A.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
-
B.
titleLanguageForm
Indicates the specific linguistic form or variant in which a title is expressed (e.g., language, script, or transliteration form).
-
C.
officialTitleInLanguage
Indicates that an entity’s official title or designation is expressed in a specified language.
-
D.
otherLanguage
Indicates that an entity has or uses an additional language distinct from its primary or main language.
-
E.
alsoTranslatedAs
chosen
Indicates that something has an alternative translation or rendering in another language or form.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.