Triple
T17033162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coastal Odisha |
E413249
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Paradip Port |
E170727
|
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: Paradip Port | Statement: [Coastal Odisha, hasPort, Paradip Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradip Port Context triple: [Coastal Odisha, hasPort, Paradip Port]
-
A.
Paradip Port
chosen
Paradip Port is a major deep-water seaport on the east coast of India that serves as a key hub for maritime trade and cargo handling in the Bay of Bengal region.
-
B.
Kandla Port
Kandla Port is a major commercial seaport on the western coast of India, serving as one of the country’s key hubs for maritime trade and cargo handling.
-
C.
Mormugao Port
Mormugao Port is a major natural harbor and one of India’s leading iron ore exporting ports, located in the state of Goa on the Arabian Sea.
-
D.
Mundra Port
Mundra Port is India’s largest commercial port and a major deep-draft, all-weather cargo hub located on the Arabian Sea coast in the state of Gujarat.
-
E.
Visakhapatnam Port
Visakhapatnam Port is one of India’s largest and busiest seaports on the eastern coast, serving as a major hub for maritime trade and industry.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8ed79448190a750a29a99913fda |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5748bc8190832737a70219e7a1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.