Triple
T18836255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India Post |
E460672
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | India Post Office |
—
|
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 Office | Statement: [India Post, alsoKnownAs, India Post Office]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: India Post Office Context triple: [India Post, alsoKnownAs, India Post Office]
-
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.
Post Office
Post Office is the retail outlet brand of Australia Post that provides postal, financial, and various government services to customers across Australia.
-
D.
Post Office
Post Office is a semi-autobiographical novel by Charles Bukowski that follows a hard-drinking, disillusioned postal worker navigating the drudgery and absurdity of his job.
-
E.
Hongkong Post
Hongkong Post is the government-operated postal service of Hong Kong, providing mail delivery, logistics, and related services locally and internationally.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99d491c81909d8e55ac45621d44 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.