Triple
T11781120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karachi Division |
E280147
|
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: [Karachi Division, hasPort, Port Qasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Qasim Context triple: [Karachi Division, 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.
Navlakhi Port
Navlakhi Port is a minor commercial seaport in Gujarat, India, serving as a regional hub for handling bulk cargo along the Gulf of Kutch.
-
C.
Adabiya Port
Adabiya Port is a commercial seaport on Egypt’s Red Sea coast that serves as a key hub for handling general cargo and bulk goods.
-
D.
Kalabahi Port
Kalabahi Port is the main seaport and maritime gateway serving the island and regency of Alor in East Nusa Tenggara, Indonesia.
-
E.
Qeshm port
Qeshm port is a key maritime hub on Iran’s Qeshm Island in the Persian Gulf, serving regional trade, transport, and tourism.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5623f708190a18aea570577a3f6 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090c828f0819097662c048542b5da |
completed | April 28, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:42 p.m.