Triple
T613743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindh |
E12156
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port Qasim |
E56979
|
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: Port Qasim | Statement: [Sindh, hasPort, Port Qasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Qasim Context triple: [Sindh, hasPort, Port Qasim]
-
A.
Port Qasim
chosen
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.
-
B.
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.
-
C.
Pipavav Port
Pipavav Port is a major private deep-water port on India’s western coast, serving as an important hub for container, bulk, and liquid cargo trade.
-
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.
Port of Karachi
The Port of Karachi is Pakistan’s largest and busiest seaport, serving as a major hub for the country’s international trade and maritime activity.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e08dbf88190ab050078a63e266b |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5554937a081909967f5298dbe1082 |
completed | March 2, 2026, 9:15 a.m. |
Created at: March 1, 2026, 7:35 p.m.