Triple
T17033157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coastal Odisha |
E413249
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Paradeep |
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: Paradeep | Statement: [Coastal Odisha, hasCity, Paradeep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paradeep Context triple: [Coastal Odisha, hasCity, Paradeep]
-
A.
Chandipur
Chandipur is a coastal town in Odisha, India, known for its unique beach where the sea recedes dramatically during low tide, exposing vast stretches of sand.
-
B.
Balasore
Balasore is a coastal city in the Indian state of Odisha, historically significant as a trading and maritime center during the colonial era.
-
C.
Balagarh
Balagarh is a town in the Hooghly district of West Bengal, India, known for its rural setting along the Hooghly River and its role as a local administrative and transport hub.
-
D.
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.
-
E.
Diamond Harbour
Diamond Harbour is a town in eastern India situated along the Hooghly River, known as a gateway to the Bay of Bengal and a popular regional tourist and trading hub.
- 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.