Triple
T21245301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahegam |
E523590
|
entity |
| Predicate | postalSystem |
P7766
|
FINISHED |
| Object | India Post |
—
|
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: India Post | Statement: [Dahegam, postalSystem, India Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India Post Context triple: [Dahegam, postalSystem, India Post]
-
A.
India Post
chosen
India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
-
B.
Bangladesh Post
Bangladesh Post is the state-run postal service of Bangladesh, providing mail delivery, financial services, and related communications infrastructure across the country.
-
C.
Pakistan Post
Pakistan Post is the state-owned postal and courier service of Pakistan, providing mail, logistics, and financial services across the country.
-
D.
China Post
China Post is the state-owned postal service of the People's Republic of China, providing nationwide mail, logistics, and related financial services.
-
E.
Blue Dart
Blue Dart was a named passenger train that operated on the New York, Chicago and St. Louis Railroad (Nickel Plate Road), providing intercity rail service in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:47 p.m.