Triple
T19650920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadiqabad |
E471810
|
entity |
| Predicate | postalSystem |
P7766
|
FINISHED |
| Object | Pakistan 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: Pakistan Post | Statement: [Sadiqabad, postalSystem, Pakistan Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakistan Post Context triple: [Sadiqabad, postalSystem, Pakistan Post]
-
A.
Pakistan Post
chosen
Pakistan Post is the state-owned postal and courier service of Pakistan, providing mail, logistics, and financial services across the country.
-
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.
India Post
India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
-
D.
Sri Lanka Post
Sri Lanka Post is the national postal service of Sri Lanka, providing mail delivery, logistics, and related services across the country.
-
E.
Saima Telecom
Saima Telecom is a leading internet service provider in Kyrgyzstan, offering broadband connectivity and related telecommunications services across the country.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641286bbc8190886f309de13063bf |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.