Triple
T27753421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Such a Long Journey |
E701271
|
entity |
| Predicate | depictsGovernment |
P28786
|
FINISHED |
| Object | Indira Gandhi government |
—
|
NE NERFINISHED |
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: Indira Gandhi government | Statement: [Such a Long Journey, depictsGovernment, Indira Gandhi government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsGovernment Context triple: [Such a Long Journey, depictsGovernment, Indira Gandhi government]
-
A.
depictsAdministration
chosen
Indicates that something visually represents or portrays the management, governance, or administrative activities of an entity.
-
B.
depictsPoliticalEntity
Indicates that one entity visually represents or portrays a political entity in some form.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
depictsPoliticalParty
Indicates that one entity visually represents or portrays a political party in some form.
-
E.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 4:22 p.m.