Triple
T531899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bombay Castle |
E12239
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mumbai Port |
E55422
|
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: Mumbai Port | Statement: [Bombay Castle, near, Mumbai Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mumbai Port Context triple: [Bombay Castle, near, Mumbai Port]
-
A.
Mumbai Harbour
Mumbai Harbour is a natural deep-water harbor on the eastern shore of Mumbai, India, serving as a major maritime gateway and commercial port on the Arabian Sea.
-
B.
Jawaharlal Nehru Port
Jawaharlal Nehru Port is India’s largest container port and a major maritime trade hub located near Mumbai on the country’s western coast.
-
C.
Mumbai Port Trust
chosen
Mumbai Port Trust is a major Indian port authority that manages and operates one of the country’s oldest and busiest natural harbors on the Arabian Sea.
-
D.
Madras Port
Madras Port, now known as Chennai Port, is one of India’s oldest and busiest seaports, serving as a key maritime gateway on the southeastern coast of the country.
-
E.
Port Qasim
Port Qasim is Pakistan’s second-busiest deep-sea commercial port and a major industrial and shipping hub located near Karachi on the Arabian Sea.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494df2c388190bf1b7672a25137af |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c66d76588190864ac6a992c44545 |
completed | March 1, 2026, 11:06 p.m. |
Created at: March 1, 2026, 7:32 p.m.