Triple
T10780432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasco da Gama, Goa |
E254304
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Mormugao Port |
E146003
|
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: Mormugao Port | Statement: [Vasco da Gama, Goa, hasPort, Mormugao Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mormugao Port Context triple: [Vasco da Gama, Goa, hasPort, Mormugao Port]
-
A.
Mormugao Port
chosen
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.
-
B.
Paradip Port
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.
-
C.
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.
-
D.
Bhavnagar Port
Bhavnagar Port is a maritime port in the city of Bhavnagar, Gujarat, India, serving as a regional hub for coastal trade and shipping.
-
E.
Kamarajar Port
Kamarajar Port is a major deep-water seaport near Chennai on India’s east coast, serving as a key hub for cargo and industrial maritime trade.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c384bc81908f503f3a2e0503a4 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.