Triple
T2744404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Dracula |
E60830
|
entity |
| Predicate | countryInvolved |
P375
|
FINISHED |
| Object | India |
E1124
|
NE 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: India | Statement: [Operation Dracula, countryInvolved, India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India Context triple: [Operation Dracula, countryInvolved, India]
-
A.
India
chosen
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
B.
Indi
Indi is an Australian federal electoral division in the state of Victoria, encompassing a largely rural and regional area in the state's northeast.
-
C.
Bharata
Bharata is a virtuous prince in the Hindu epic Ramayana, renowned for his unwavering devotion to his exiled brother Rama and his refusal to usurp the throne.
-
D.
Estado da Índia
Estado da Índia was the Portuguese Empire’s colonial state in Asia, encompassing its key trading ports and territories from the early 16th century onward.
-
E.
Star India
Star India is a major Indian media and entertainment company known for its extensive portfolio of television channels and digital streaming services across multiple languages and genres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb32ef74819096ae399d16d4f31d |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc828388190af6c3b75ed765401 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.