Triple
T760630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lala Lajpat Rai |
E16060
|
entity |
| Predicate | dateElectedAsINCPresident |
P14427
|
FINISHED |
| Object | 1920 |
—
|
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: 1920 | Statement: [Lala Lajpat Rai, dateElectedAsINCPresident, 1920]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateElectedAsINCPresident Context triple: [Lala Lajpat Rai, dateElectedAsINCPresident, 1920]
-
A.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
B.
positionInauguratedIn
chosen
Indicates that a person officially assumed a particular position or office at a specified time or event of inauguration.
-
C.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
D.
inaugurationDate
Indicates the date on which an official ceremony formally installs a person into a specific office or position.
-
E.
inauguralHolder
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a68158508190998da10e69252662 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.